Overview

Dataset statistics

Number of variables600
Number of observations92
Missing cells0
Missing cells (%)0.0%
Total size in memory436.5 KiB
Average record size in memory4.7 KiB

Variable types

Numeric600

Alerts

147 has unique valuesUnique
0 has 5 (5.4%) zerosZeros
1 has 4 (4.3%) zerosZeros
2 has 4 (4.3%) zerosZeros
3 has 3 (3.3%) zerosZeros
4 has 6 (6.5%) zerosZeros
5 has 6 (6.5%) zerosZeros
6 has 3 (3.3%) zerosZeros
7 has 5 (5.4%) zerosZeros
8 has 5 (5.4%) zerosZeros
9 has 6 (6.5%) zerosZeros
10 has 6 (6.5%) zerosZeros
11 has 5 (5.4%) zerosZeros
12 has 2 (2.2%) zerosZeros
13 has 5 (5.4%) zerosZeros
14 has 5 (5.4%) zerosZeros
15 has 2 (2.2%) zerosZeros
16 has 6 (6.5%) zerosZeros
17 has 5 (5.4%) zerosZeros
18 has 3 (3.3%) zerosZeros
19 has 6 (6.5%) zerosZeros
20 has 4 (4.3%) zerosZeros
21 has 5 (5.4%) zerosZeros
22 has 6 (6.5%) zerosZeros
23 has 5 (5.4%) zerosZeros
24 has 4 (4.3%) zerosZeros
25 has 5 (5.4%) zerosZeros
26 has 4 (4.3%) zerosZeros
27 has 4 (4.3%) zerosZeros
28 has 3 (3.3%) zerosZeros
29 has 6 (6.5%) zerosZeros
30 has 5 (5.4%) zerosZeros
31 has 5 (5.4%) zerosZeros
32 has 5 (5.4%) zerosZeros
33 has 4 (4.3%) zerosZeros
34 has 5 (5.4%) zerosZeros
35 has 5 (5.4%) zerosZeros
36 has 4 (4.3%) zerosZeros
37 has 6 (6.5%) zerosZeros
38 has 4 (4.3%) zerosZeros
39 has 4 (4.3%) zerosZeros
40 has 4 (4.3%) zerosZeros
41 has 5 (5.4%) zerosZeros
42 has 5 (5.4%) zerosZeros
43 has 5 (5.4%) zerosZeros
44 has 5 (5.4%) zerosZeros
45 has 4 (4.3%) zerosZeros
46 has 6 (6.5%) zerosZeros
47 has 6 (6.5%) zerosZeros
48 has 5 (5.4%) zerosZeros
49 has 5 (5.4%) zerosZeros
50 has 5 (5.4%) zerosZeros
51 has 3 (3.3%) zerosZeros
52 has 4 (4.3%) zerosZeros
53 has 3 (3.3%) zerosZeros
54 has 2 (2.2%) zerosZeros
55 has 4 (4.3%) zerosZeros
56 has 5 (5.4%) zerosZeros
57 has 5 (5.4%) zerosZeros
58 has 4 (4.3%) zerosZeros
59 has 5 (5.4%) zerosZeros
60 has 5 (5.4%) zerosZeros
61 has 5 (5.4%) zerosZeros
62 has 5 (5.4%) zerosZeros
63 has 3 (3.3%) zerosZeros
64 has 5 (5.4%) zerosZeros
65 has 6 (6.5%) zerosZeros
66 has 6 (6.5%) zerosZeros
67 has 5 (5.4%) zerosZeros
68 has 5 (5.4%) zerosZeros
69 has 5 (5.4%) zerosZeros
70 has 5 (5.4%) zerosZeros
71 has 3 (3.3%) zerosZeros
72 has 5 (5.4%) zerosZeros
73 has 6 (6.5%) zerosZeros
74 has 5 (5.4%) zerosZeros
75 has 5 (5.4%) zerosZeros
76 has 5 (5.4%) zerosZeros
77 has 6 (6.5%) zerosZeros
78 has 6 (6.5%) zerosZeros
79 has 2 (2.2%) zerosZeros
80 has 5 (5.4%) zerosZeros
81 has 4 (4.3%) zerosZeros
82 has 2 (2.2%) zerosZeros
83 has 4 (4.3%) zerosZeros
84 has 5 (5.4%) zerosZeros
85 has 4 (4.3%) zerosZeros
86 has 5 (5.4%) zerosZeros
87 has 6 (6.5%) zerosZeros
88 has 5 (5.4%) zerosZeros
89 has 5 (5.4%) zerosZeros
90 has 6 (6.5%) zerosZeros
91 has 4 (4.3%) zerosZeros
92 has 4 (4.3%) zerosZeros
93 has 5 (5.4%) zerosZeros
94 has 4 (4.3%) zerosZeros
95 has 3 (3.3%) zerosZeros
96 has 4 (4.3%) zerosZeros
97 has 4 (4.3%) zerosZeros
98 has 4 (4.3%) zerosZeros
99 has 6 (6.5%) zerosZeros
100 has 6 (6.5%) zerosZeros
101 has 6 (6.5%) zerosZeros
102 has 2 (2.2%) zerosZeros
103 has 4 (4.3%) zerosZeros
104 has 2 (2.2%) zerosZeros
105 has 3 (3.3%) zerosZeros
106 has 4 (4.3%) zerosZeros
107 has 5 (5.4%) zerosZeros
108 has 5 (5.4%) zerosZeros
109 has 4 (4.3%) zerosZeros
110 has 3 (3.3%) zerosZeros
111 has 4 (4.3%) zerosZeros
112 has 5 (5.4%) zerosZeros
113 has 4 (4.3%) zerosZeros
114 has 5 (5.4%) zerosZeros
115 has 4 (4.3%) zerosZeros
116 has 5 (5.4%) zerosZeros
117 has 5 (5.4%) zerosZeros
118 has 6 (6.5%) zerosZeros
119 has 6 (6.5%) zerosZeros
120 has 6 (6.5%) zerosZeros
121 has 5 (5.4%) zerosZeros
122 has 2 (2.2%) zerosZeros
123 has 6 (6.5%) zerosZeros
124 has 5 (5.4%) zerosZeros
125 has 3 (3.3%) zerosZeros
126 has 6 (6.5%) zerosZeros
127 has 4 (4.3%) zerosZeros
128 has 6 (6.5%) zerosZeros
129 has 4 (4.3%) zerosZeros
130 has 5 (5.4%) zerosZeros
131 has 6 (6.5%) zerosZeros
132 has 4 (4.3%) zerosZeros
133 has 6 (6.5%) zerosZeros
134 has 2 (2.2%) zerosZeros
135 has 4 (4.3%) zerosZeros
136 has 4 (4.3%) zerosZeros
137 has 4 (4.3%) zerosZeros
138 has 6 (6.5%) zerosZeros
139 has 6 (6.5%) zerosZeros
140 has 4 (4.3%) zerosZeros
141 has 3 (3.3%) zerosZeros
142 has 4 (4.3%) zerosZeros
143 has 3 (3.3%) zerosZeros
144 has 3 (3.3%) zerosZeros
145 has 6 (6.5%) zerosZeros
146 has 4 (4.3%) zerosZeros
147 has 1 (1.1%) zerosZeros
148 has 3 (3.3%) zerosZeros
149 has 1 (1.1%) zerosZeros
150 has 5 (5.4%) zerosZeros
151 has 5 (5.4%) zerosZeros
152 has 2 (2.2%) zerosZeros
153 has 3 (3.3%) zerosZeros
154 has 5 (5.4%) zerosZeros
155 has 2 (2.2%) zerosZeros
156 has 2 (2.2%) zerosZeros
157 has 3 (3.3%) zerosZeros
158 has 6 (6.5%) zerosZeros
159 has 5 (5.4%) zerosZeros
160 has 4 (4.3%) zerosZeros
161 has 5 (5.4%) zerosZeros
162 has 5 (5.4%) zerosZeros
163 has 3 (3.3%) zerosZeros
164 has 6 (6.5%) zerosZeros
165 has 5 (5.4%) zerosZeros
166 has 3 (3.3%) zerosZeros
167 has 4 (4.3%) zerosZeros
168 has 3 (3.3%) zerosZeros
169 has 6 (6.5%) zerosZeros
170 has 6 (6.5%) zerosZeros
171 has 4 (4.3%) zerosZeros
172 has 4 (4.3%) zerosZeros
173 has 4 (4.3%) zerosZeros
174 has 3 (3.3%) zerosZeros
175 has 4 (4.3%) zerosZeros
176 has 5 (5.4%) zerosZeros
177 has 5 (5.4%) zerosZeros
178 has 4 (4.3%) zerosZeros
179 has 5 (5.4%) zerosZeros
180 has 3 (3.3%) zerosZeros
181 has 4 (4.3%) zerosZeros
182 has 5 (5.4%) zerosZeros
183 has 4 (4.3%) zerosZeros
184 has 4 (4.3%) zerosZeros
185 has 5 (5.4%) zerosZeros
186 has 4 (4.3%) zerosZeros
187 has 4 (4.3%) zerosZeros
188 has 4 (4.3%) zerosZeros
189 has 5 (5.4%) zerosZeros
190 has 4 (4.3%) zerosZeros
191 has 5 (5.4%) zerosZeros
192 has 5 (5.4%) zerosZeros
193 has 6 (6.5%) zerosZeros
194 has 6 (6.5%) zerosZeros
195 has 4 (4.3%) zerosZeros
196 has 5 (5.4%) zerosZeros
197 has 4 (4.3%) zerosZeros
198 has 6 (6.5%) zerosZeros
199 has 5 (5.4%) zerosZeros
200 has 6 (6.5%) zerosZeros
201 has 2 (2.2%) zerosZeros
202 has 6 (6.5%) zerosZeros
203 has 6 (6.5%) zerosZeros
204 has 5 (5.4%) zerosZeros
205 has 5 (5.4%) zerosZeros
206 has 5 (5.4%) zerosZeros
207 has 3 (3.3%) zerosZeros
208 has 5 (5.4%) zerosZeros
209 has 6 (6.5%) zerosZeros
210 has 4 (4.3%) zerosZeros
211 has 4 (4.3%) zerosZeros
212 has 4 (4.3%) zerosZeros
213 has 3 (3.3%) zerosZeros
214 has 3 (3.3%) zerosZeros
215 has 6 (6.5%) zerosZeros
216 has 4 (4.3%) zerosZeros
217 has 6 (6.5%) zerosZeros
218 has 6 (6.5%) zerosZeros
219 has 2 (2.2%) zerosZeros
220 has 6 (6.5%) zerosZeros
221 has 4 (4.3%) zerosZeros
222 has 3 (3.3%) zerosZeros
223 has 4 (4.3%) zerosZeros
224 has 5 (5.4%) zerosZeros
225 has 5 (5.4%) zerosZeros
226 has 4 (4.3%) zerosZeros
227 has 6 (6.5%) zerosZeros
228 has 4 (4.3%) zerosZeros
229 has 5 (5.4%) zerosZeros
230 has 5 (5.4%) zerosZeros
231 has 3 (3.3%) zerosZeros
232 has 4 (4.3%) zerosZeros
233 has 5 (5.4%) zerosZeros
234 has 4 (4.3%) zerosZeros
235 has 6 (6.5%) zerosZeros
236 has 6 (6.5%) zerosZeros
237 has 6 (6.5%) zerosZeros
238 has 5 (5.4%) zerosZeros
239 has 3 (3.3%) zerosZeros
240 has 5 (5.4%) zerosZeros
241 has 4 (4.3%) zerosZeros
242 has 5 (5.4%) zerosZeros
243 has 7 (7.6%) zerosZeros
244 has 3 (3.3%) zerosZeros
245 has 4 (4.3%) zerosZeros
246 has 4 (4.3%) zerosZeros
247 has 5 (5.4%) zerosZeros
248 has 5 (5.4%) zerosZeros
249 has 5 (5.4%) zerosZeros
250 has 6 (6.5%) zerosZeros
251 has 3 (3.3%) zerosZeros
252 has 2 (2.2%) zerosZeros
253 has 5 (5.4%) zerosZeros
254 has 3 (3.3%) zerosZeros
255 has 5 (5.4%) zerosZeros
256 has 4 (4.3%) zerosZeros
257 has 3 (3.3%) zerosZeros
258 has 2 (2.2%) zerosZeros
259 has 5 (5.4%) zerosZeros
260 has 5 (5.4%) zerosZeros
261 has 4 (4.3%) zerosZeros
262 has 5 (5.4%) zerosZeros
263 has 5 (5.4%) zerosZeros
264 has 4 (4.3%) zerosZeros
265 has 5 (5.4%) zerosZeros
266 has 4 (4.3%) zerosZeros
267 has 2 (2.2%) zerosZeros
268 has 4 (4.3%) zerosZeros
269 has 3 (3.3%) zerosZeros
270 has 3 (3.3%) zerosZeros
271 has 4 (4.3%) zerosZeros
272 has 4 (4.3%) zerosZeros
273 has 6 (6.5%) zerosZeros
274 has 3 (3.3%) zerosZeros
275 has 4 (4.3%) zerosZeros
276 has 6 (6.5%) zerosZeros
277 has 4 (4.3%) zerosZeros
278 has 5 (5.4%) zerosZeros
279 has 4 (4.3%) zerosZeros
280 has 6 (6.5%) zerosZeros
281 has 4 (4.3%) zerosZeros
282 has 5 (5.4%) zerosZeros
283 has 5 (5.4%) zerosZeros
284 has 4 (4.3%) zerosZeros
285 has 5 (5.4%) zerosZeros
286 has 5 (5.4%) zerosZeros
287 has 5 (5.4%) zerosZeros
288 has 5 (5.4%) zerosZeros
289 has 5 (5.4%) zerosZeros
290 has 6 (6.5%) zerosZeros
291 has 4 (4.3%) zerosZeros
292 has 5 (5.4%) zerosZeros
293 has 6 (6.5%) zerosZeros
294 has 3 (3.3%) zerosZeros
295 has 2 (2.2%) zerosZeros
296 has 4 (4.3%) zerosZeros
297 has 3 (3.3%) zerosZeros
298 has 5 (5.4%) zerosZeros
299 has 6 (6.5%) zerosZeros
300 has 5 (5.4%) zerosZeros
301 has 7 (7.6%) zerosZeros
302 has 4 (4.3%) zerosZeros
303 has 2 (2.2%) zerosZeros
304 has 6 (6.5%) zerosZeros
305 has 5 (5.4%) zerosZeros
306 has 5 (5.4%) zerosZeros
307 has 5 (5.4%) zerosZeros
308 has 5 (5.4%) zerosZeros
309 has 5 (5.4%) zerosZeros
310 has 4 (4.3%) zerosZeros
311 has 4 (4.3%) zerosZeros
312 has 4 (4.3%) zerosZeros
313 has 4 (4.3%) zerosZeros
314 has 5 (5.4%) zerosZeros
315 has 5 (5.4%) zerosZeros
316 has 6 (6.5%) zerosZeros
317 has 5 (5.4%) zerosZeros
318 has 6 (6.5%) zerosZeros
319 has 5 (5.4%) zerosZeros
320 has 5 (5.4%) zerosZeros
321 has 3 (3.3%) zerosZeros
322 has 5 (5.4%) zerosZeros
323 has 6 (6.5%) zerosZeros
324 has 2 (2.2%) zerosZeros
325 has 4 (4.3%) zerosZeros
326 has 6 (6.5%) zerosZeros
327 has 4 (4.3%) zerosZeros
328 has 6 (6.5%) zerosZeros
329 has 4 (4.3%) zerosZeros
330 has 5 (5.4%) zerosZeros
331 has 5 (5.4%) zerosZeros
332 has 5 (5.4%) zerosZeros
333 has 3 (3.3%) zerosZeros
334 has 4 (4.3%) zerosZeros
335 has 3 (3.3%) zerosZeros
336 has 4 (4.3%) zerosZeros
337 has 5 (5.4%) zerosZeros
338 has 5 (5.4%) zerosZeros
339 has 4 (4.3%) zerosZeros
340 has 4 (4.3%) zerosZeros
341 has 6 (6.5%) zerosZeros
342 has 6 (6.5%) zerosZeros
343 has 3 (3.3%) zerosZeros
344 has 5 (5.4%) zerosZeros
345 has 4 (4.3%) zerosZeros
346 has 6 (6.5%) zerosZeros
347 has 5 (5.4%) zerosZeros
348 has 5 (5.4%) zerosZeros
349 has 5 (5.4%) zerosZeros
350 has 4 (4.3%) zerosZeros
351 has 4 (4.3%) zerosZeros
352 has 4 (4.3%) zerosZeros
353 has 4 (4.3%) zerosZeros
354 has 6 (6.5%) zerosZeros
355 has 5 (5.4%) zerosZeros
356 has 5 (5.4%) zerosZeros
357 has 6 (6.5%) zerosZeros
358 has 6 (6.5%) zerosZeros
359 has 2 (2.2%) zerosZeros
360 has 4 (4.3%) zerosZeros
361 has 6 (6.5%) zerosZeros
362 has 4 (4.3%) zerosZeros
363 has 4 (4.3%) zerosZeros
364 has 6 (6.5%) zerosZeros
365 has 5 (5.4%) zerosZeros
366 has 4 (4.3%) zerosZeros
367 has 4 (4.3%) zerosZeros
368 has 4 (4.3%) zerosZeros
369 has 5 (5.4%) zerosZeros
370 has 6 (6.5%) zerosZeros
371 has 5 (5.4%) zerosZeros
372 has 5 (5.4%) zerosZeros
373 has 6 (6.5%) zerosZeros
374 has 4 (4.3%) zerosZeros
375 has 5 (5.4%) zerosZeros
376 has 4 (4.3%) zerosZeros
377 has 5 (5.4%) zerosZeros
378 has 3 (3.3%) zerosZeros
379 has 5 (5.4%) zerosZeros
380 has 6 (6.5%) zerosZeros
381 has 5 (5.4%) zerosZeros
382 has 7 (7.6%) zerosZeros
383 has 4 (4.3%) zerosZeros
384 has 7 (7.6%) zerosZeros
385 has 5 (5.4%) zerosZeros
386 has 5 (5.4%) zerosZeros
387 has 6 (6.5%) zerosZeros
388 has 5 (5.4%) zerosZeros
389 has 5 (5.4%) zerosZeros
390 has 5 (5.4%) zerosZeros
391 has 5 (5.4%) zerosZeros
392 has 5 (5.4%) zerosZeros
393 has 6 (6.5%) zerosZeros
394 has 4 (4.3%) zerosZeros
395 has 5 (5.4%) zerosZeros
396 has 5 (5.4%) zerosZeros
397 has 3 (3.3%) zerosZeros
398 has 3 (3.3%) zerosZeros
399 has 4 (4.3%) zerosZeros
400 has 5 (5.4%) zerosZeros
401 has 4 (4.3%) zerosZeros
402 has 6 (6.5%) zerosZeros
403 has 4 (4.3%) zerosZeros
404 has 5 (5.4%) zerosZeros
405 has 4 (4.3%) zerosZeros
406 has 5 (5.4%) zerosZeros
407 has 6 (6.5%) zerosZeros
408 has 5 (5.4%) zerosZeros
409 has 5 (5.4%) zerosZeros
410 has 5 (5.4%) zerosZeros
411 has 2 (2.2%) zerosZeros
412 has 5 (5.4%) zerosZeros
413 has 4 (4.3%) zerosZeros
414 has 5 (5.4%) zerosZeros
415 has 5 (5.4%) zerosZeros
416 has 3 (3.3%) zerosZeros
417 has 3 (3.3%) zerosZeros
418 has 5 (5.4%) zerosZeros
419 has 5 (5.4%) zerosZeros
420 has 4 (4.3%) zerosZeros
421 has 5 (5.4%) zerosZeros
422 has 5 (5.4%) zerosZeros
423 has 4 (4.3%) zerosZeros
424 has 4 (4.3%) zerosZeros
425 has 4 (4.3%) zerosZeros
426 has 5 (5.4%) zerosZeros
427 has 6 (6.5%) zerosZeros
428 has 5 (5.4%) zerosZeros
429 has 6 (6.5%) zerosZeros
430 has 5 (5.4%) zerosZeros
431 has 5 (5.4%) zerosZeros
432 has 2 (2.2%) zerosZeros
433 has 5 (5.4%) zerosZeros
434 has 4 (4.3%) zerosZeros
435 has 3 (3.3%) zerosZeros
436 has 3 (3.3%) zerosZeros
437 has 6 (6.5%) zerosZeros
438 has 6 (6.5%) zerosZeros
439 has 5 (5.4%) zerosZeros
440 has 4 (4.3%) zerosZeros
441 has 4 (4.3%) zerosZeros
442 has 3 (3.3%) zerosZeros
443 has 4 (4.3%) zerosZeros
444 has 4 (4.3%) zerosZeros
445 has 4 (4.3%) zerosZeros
446 has 5 (5.4%) zerosZeros
447 has 5 (5.4%) zerosZeros
448 has 5 (5.4%) zerosZeros
449 has 4 (4.3%) zerosZeros
450 has 4 (4.3%) zerosZeros
451 has 4 (4.3%) zerosZeros
452 has 4 (4.3%) zerosZeros
453 has 5 (5.4%) zerosZeros
454 has 5 (5.4%) zerosZeros
455 has 3 (3.3%) zerosZeros
456 has 3 (3.3%) zerosZeros
457 has 5 (5.4%) zerosZeros
458 has 6 (6.5%) zerosZeros
459 has 5 (5.4%) zerosZeros
460 has 5 (5.4%) zerosZeros
461 has 3 (3.3%) zerosZeros
462 has 5 (5.4%) zerosZeros
463 has 4 (4.3%) zerosZeros
464 has 4 (4.3%) zerosZeros
465 has 5 (5.4%) zerosZeros
466 has 4 (4.3%) zerosZeros
467 has 5 (5.4%) zerosZeros
468 has 3 (3.3%) zerosZeros
469 has 4 (4.3%) zerosZeros
470 has 4 (4.3%) zerosZeros
471 has 2 (2.2%) zerosZeros
472 has 6 (6.5%) zerosZeros
473 has 3 (3.3%) zerosZeros
474 has 3 (3.3%) zerosZeros
475 has 2 (2.2%) zerosZeros
476 has 4 (4.3%) zerosZeros
477 has 4 (4.3%) zerosZeros
478 has 4 (4.3%) zerosZeros
479 has 5 (5.4%) zerosZeros
480 has 6 (6.5%) zerosZeros
481 has 3 (3.3%) zerosZeros
482 has 5 (5.4%) zerosZeros
483 has 6 (6.5%) zerosZeros
484 has 5 (5.4%) zerosZeros
485 has 4 (4.3%) zerosZeros
486 has 4 (4.3%) zerosZeros
487 has 5 (5.4%) zerosZeros
488 has 5 (5.4%) zerosZeros
489 has 4 (4.3%) zerosZeros
490 has 3 (3.3%) zerosZeros
491 has 5 (5.4%) zerosZeros
492 has 6 (6.5%) zerosZeros
493 has 6 (6.5%) zerosZeros
494 has 6 (6.5%) zerosZeros
495 has 4 (4.3%) zerosZeros
496 has 7 (7.6%) zerosZeros
497 has 2 (2.2%) zerosZeros
498 has 4 (4.3%) zerosZeros
499 has 5 (5.4%) zerosZeros
500 has 5 (5.4%) zerosZeros
501 has 2 (2.2%) zerosZeros
502 has 4 (4.3%) zerosZeros
503 has 1 (1.1%) zerosZeros
504 has 5 (5.4%) zerosZeros
505 has 4 (4.3%) zerosZeros
506 has 4 (4.3%) zerosZeros
507 has 5 (5.4%) zerosZeros
508 has 5 (5.4%) zerosZeros
509 has 3 (3.3%) zerosZeros
510 has 4 (4.3%) zerosZeros
511 has 2 (2.2%) zerosZeros
512 has 4 (4.3%) zerosZeros
513 has 5 (5.4%) zerosZeros
514 has 3 (3.3%) zerosZeros
515 has 4 (4.3%) zerosZeros
516 has 4 (4.3%) zerosZeros
517 has 4 (4.3%) zerosZeros
518 has 6 (6.5%) zerosZeros
519 has 4 (4.3%) zerosZeros
520 has 2 (2.2%) zerosZeros
521 has 6 (6.5%) zerosZeros
522 has 3 (3.3%) zerosZeros
523 has 5 (5.4%) zerosZeros
524 has 3 (3.3%) zerosZeros
525 has 4 (4.3%) zerosZeros
526 has 6 (6.5%) zerosZeros
527 has 4 (4.3%) zerosZeros
528 has 3 (3.3%) zerosZeros
529 has 4 (4.3%) zerosZeros
530 has 6 (6.5%) zerosZeros
531 has 5 (5.4%) zerosZeros
532 has 4 (4.3%) zerosZeros
533 has 5 (5.4%) zerosZeros
534 has 5 (5.4%) zerosZeros
535 has 3 (3.3%) zerosZeros
536 has 2 (2.2%) zerosZeros
537 has 3 (3.3%) zerosZeros
538 has 6 (6.5%) zerosZeros
539 has 5 (5.4%) zerosZeros
540 has 4 (4.3%) zerosZeros
541 has 5 (5.4%) zerosZeros
542 has 4 (4.3%) zerosZeros
543 has 5 (5.4%) zerosZeros
544 has 5 (5.4%) zerosZeros
545 has 4 (4.3%) zerosZeros
546 has 2 (2.2%) zerosZeros
547 has 5 (5.4%) zerosZeros
548 has 6 (6.5%) zerosZeros
549 has 4 (4.3%) zerosZeros
550 has 4 (4.3%) zerosZeros
551 has 5 (5.4%) zerosZeros
552 has 5 (5.4%) zerosZeros
553 has 3 (3.3%) zerosZeros
554 has 6 (6.5%) zerosZeros
555 has 5 (5.4%) zerosZeros
556 has 5 (5.4%) zerosZeros
557 has 3 (3.3%) zerosZeros
558 has 4 (4.3%) zerosZeros
559 has 4 (4.3%) zerosZeros
560 has 4 (4.3%) zerosZeros
561 has 7 (7.6%) zerosZeros
562 has 5 (5.4%) zerosZeros
563 has 5 (5.4%) zerosZeros
564 has 5 (5.4%) zerosZeros
565 has 4 (4.3%) zerosZeros
566 has 3 (3.3%) zerosZeros
567 has 5 (5.4%) zerosZeros
568 has 5 (5.4%) zerosZeros
569 has 4 (4.3%) zerosZeros
570 has 2 (2.2%) zerosZeros
571 has 5 (5.4%) zerosZeros
572 has 5 (5.4%) zerosZeros
573 has 4 (4.3%) zerosZeros
574 has 4 (4.3%) zerosZeros
575 has 4 (4.3%) zerosZeros
576 has 6 (6.5%) zerosZeros
577 has 3 (3.3%) zerosZeros
578 has 5 (5.4%) zerosZeros
579 has 4 (4.3%) zerosZeros
580 has 4 (4.3%) zerosZeros
581 has 4 (4.3%) zerosZeros
582 has 4 (4.3%) zerosZeros
583 has 4 (4.3%) zerosZeros
584 has 5 (5.4%) zerosZeros
585 has 5 (5.4%) zerosZeros
586 has 4 (4.3%) zerosZeros
587 has 4 (4.3%) zerosZeros
588 has 6 (6.5%) zerosZeros
589 has 6 (6.5%) zerosZeros
590 has 4 (4.3%) zerosZeros
591 has 1 (1.1%) zerosZeros
592 has 6 (6.5%) zerosZeros
593 has 4 (4.3%) zerosZeros
594 has 4 (4.3%) zerosZeros
595 has 5 (5.4%) zerosZeros
596 has 6 (6.5%) zerosZeros
597 has 4 (4.3%) zerosZeros
598 has 2 (2.2%) zerosZeros
599 has 5 (5.4%) zerosZeros

Reproduction

Analysis started2022-12-08 01:51:16.230979
Analysis finished2022-12-08 01:51:18.560291
Duration2.33 seconds
Software versionpandas-profiling vdev
Download configurationconfig.json

Variables

0
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5445.206522
Minimum0
Maximum21958
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:18.736894image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.4
Q11593
median3549.5
Q38658.5
95-th percentile14769.4
Maximum21958
Range21958
Interquartile range (IQR)7065.5

Descriptive statistics

Standard deviation5037.71764
Coefficient of variation (CV)0.9251655782
Kurtosis0.4837424097
Mean5445.206522
Median Absolute Deviation (MAD)3189.5
Skewness1.028482568
Sum500959
Variance25378599.02
MonotonicityNot monotonic
2022-12-08T10:51:19.030206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2699 1
 
1.1%
1889 1
 
1.1%
3712 1
 
1.1%
1805 1
 
1.1%
10107 1
 
1.1%
4937 1
 
1.1%
2040 1
 
1.1%
1262 1
 
1.1%
2210 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
8 1
 
1.1%
47 1
 
1.1%
66 1
 
1.1%
105 1
 
1.1%
ValueCountFrequency (%)
21958 1
1.1%
18318 1
1.1%
17997 1
1.1%
16052 1
1.1%
14941 1
1.1%

1
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5389.98913
Minimum0
Maximum21001
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:19.180319image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11515.25
median3543.5
Q38271.75
95-th percentile14597.9
Maximum21001
Range21001
Interquartile range (IQR)6756.5

Descriptive statistics

Standard deviation5039.727257
Coefficient of variation (CV)0.9350162189
Kurtosis0.2797723908
Mean5389.98913
Median Absolute Deviation (MAD)3208
Skewness0.9872737969
Sum495879
Variance25398850.82
MonotonicityNot monotonic
2022-12-08T10:51:19.320972image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2274 1
 
1.1%
10303 1
 
1.1%
2938 1
 
1.1%
1736 1
 
1.1%
9171 1
 
1.1%
5461 1
 
1.1%
1763 1
 
1.1%
1301 1
 
1.1%
2754 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
15 1
 
1.1%
18 1
 
1.1%
ValueCountFrequency (%)
21001 1
1.1%
18376 1
1.1%
18152 1
1.1%
15912 1
1.1%
15314 1
1.1%

2
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5440
Minimum0
Maximum21595
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:19.459115image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11564.75
median3519.5
Q39149
95-th percentile14757.6
Maximum21595
Range21595
Interquartile range (IQR)7584.25

Descriptive statistics

Standard deviation5140.977194
Coefficient of variation (CV)0.9450325724
Kurtosis0.1835647297
Mean5440
Median Absolute Deviation (MAD)2953.5
Skewness1.001099067
Sum500480
Variance26429646.51
MonotonicityNot monotonic
2022-12-08T10:51:19.589799image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 2
 
2.2%
2450 1
 
1.1%
1625 1
 
1.1%
3927 1
 
1.1%
1779 1
 
1.1%
10303 1
 
1.1%
4286 1
 
1.1%
1801 1
 
1.1%
1336 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
4 1
 
1.1%
12 1
 
1.1%
75 1
 
1.1%
ValueCountFrequency (%)
21595 1
1.1%
18228 1
1.1%
17563 1
1.1%
15830 1
1.1%
15774 1
1.1%

3
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5801.641304
Minimum0
Maximum21678
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:19.743899image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.1
Q11177
median4160.5
Q39338.25
95-th percentile16033.7
Maximum21678
Range21678
Interquartile range (IQR)8161.25

Descriptive statistics

Standard deviation5544.992991
Coefficient of variation (CV)0.9557628091
Kurtosis-0.1852249231
Mean5801.641304
Median Absolute Deviation (MAD)3550.5
Skewness0.9088291578
Sum533751
Variance30746947.27
MonotonicityNot monotonic
2022-12-08T10:51:19.875736image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2516 1
 
1.1%
13232 1
 
1.1%
3431 1
 
1.1%
1812 1
 
1.1%
11202 1
 
1.1%
5575 1
 
1.1%
1874 1
 
1.1%
1062 1
 
1.1%
2772 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
2 1
 
1.1%
8 1
 
1.1%
10 1
 
1.1%
19 1
 
1.1%
ValueCountFrequency (%)
21678 1
1.1%
18535 1
1.1%
18368 1
1.1%
17431 1
1.1%
16202 1
1.1%

4
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4677.413043
Minimum0
Maximum18197
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:20.005417image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11619
median3163.5
Q37460.75
95-th percentile13505.7
Maximum18197
Range18197
Interquartile range (IQR)5841.75

Descriptive statistics

Standard deviation4292.013435
Coefficient of variation (CV)0.9176041104
Kurtosis0.6778869568
Mean4677.413043
Median Absolute Deviation (MAD)2689.5
Skewness1.103904484
Sum430322
Variance18421379.32
MonotonicityNot monotonic
2022-12-08T10:51:20.130597image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1952 1
 
1.1%
2110 1
 
1.1%
3417 1
 
1.1%
1777 1
 
1.1%
7296 1
 
1.1%
3706 1
 
1.1%
1682 1
 
1.1%
1049 1
 
1.1%
2456 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
11 1
 
1.1%
24 1
 
1.1%
86 1
 
1.1%
166 1
 
1.1%
ValueCountFrequency (%)
18197 1
1.1%
15859 1
1.1%
15522 1
1.1%
15283 1
1.1%
14829 1
1.1%

5
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4656.956522
Minimum0
Maximum17685
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:20.282707image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11234.5
median3064.5
Q37769.75
95-th percentile12716.55
Maximum17685
Range17685
Interquartile range (IQR)6535.25

Descriptive statistics

Standard deviation4465.295026
Coefficient of variation (CV)0.9588440444
Kurtosis0.1134779666
Mean4656.956522
Median Absolute Deviation (MAD)2663
Skewness0.9937061141
Sum428440
Variance19938859.67
MonotonicityNot monotonic
2022-12-08T10:51:20.419951image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2002 1
 
1.1%
1600 1
 
1.1%
3090 1
 
1.1%
1448 1
 
1.1%
8521 1
 
1.1%
4639 1
 
1.1%
1775 1
 
1.1%
872 1
 
1.1%
2583 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
54 1
 
1.1%
117 1
 
1.1%
122 1
 
1.1%
168 1
 
1.1%
ValueCountFrequency (%)
17685 1
1.1%
17091 1
1.1%
15546 1
1.1%
13131 1
1.1%
13002 1
1.1%

6
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5054.793478
Minimum0
Maximum18416
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:20.567071image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.7
Q11682.75
median3391.5
Q37743.5
95-th percentile13861.55
Maximum18416
Range18416
Interquartile range (IQR)6060.75

Descriptive statistics

Standard deviation4562.450321
Coefficient of variation (CV)0.9025987592
Kurtosis0.154084727
Mean5054.793478
Median Absolute Deviation (MAD)3004.5
Skewness0.9487371189
Sum465041
Variance20815952.93
MonotonicityNot monotonic
2022-12-08T10:51:20.703740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2783 1
 
1.1%
11404 1
 
1.1%
2958 1
 
1.1%
2117 1
 
1.1%
9031 1
 
1.1%
5435 1
 
1.1%
1734 1
 
1.1%
863 1
 
1.1%
2733 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
4 1
 
1.1%
16 1
 
1.1%
30 1
 
1.1%
103 1
 
1.1%
ValueCountFrequency (%)
18416 1
1.1%
17422 1
1.1%
15929 1
1.1%
14673 1
1.1%
14202 1
1.1%

7
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5507.967391
Minimum0
Maximum23956
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:20.846806image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q11421.5
median3390.5
Q38451.5
95-th percentile16585.25
Maximum23956
Range23956
Interquartile range (IQR)7030

Descriptive statistics

Standard deviation5354.68207
Coefficient of variation (CV)0.9721702563
Kurtosis0.8588931427
Mean5507.967391
Median Absolute Deviation (MAD)3056
Skewness1.154863685
Sum506733
Variance28672620.08
MonotonicityNot monotonic
2022-12-08T10:51:20.984953image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2462 1
 
1.1%
1660 1
 
1.1%
3233 1
 
1.1%
1847 1
 
1.1%
8442 1
 
1.1%
5348 1
 
1.1%
1929 1
 
1.1%
914 1
 
1.1%
2458 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
6 1
 
1.1%
21 1
 
1.1%
42 1
 
1.1%
71 1
 
1.1%
ValueCountFrequency (%)
23956 1
1.1%
20034 1
1.1%
17019 1
1.1%
16967 1
1.1%
16687 1
1.1%

8
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4521.98913
Minimum0
Maximum17974
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:21.125607image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q1971.5
median2542
Q37091.25
95-th percentile12596.3
Maximum17974
Range17974
Interquartile range (IQR)6119.75

Descriptive statistics

Standard deviation4510.396107
Coefficient of variation (CV)0.9974363001
Kurtosis0.09960630464
Mean4521.98913
Median Absolute Deviation (MAD)2335
Skewness1.011281954
Sum416023
Variance20343673.04
MonotonicityNot monotonic
2022-12-08T10:51:21.259454image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1837 1
 
1.1%
650 1
 
1.1%
2009 1
 
1.1%
1191 1
 
1.1%
8393 1
 
1.1%
4853 1
 
1.1%
1791 1
 
1.1%
542 1
 
1.1%
1558 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
6 1
 
1.1%
9 1
 
1.1%
68 1
 
1.1%
ValueCountFrequency (%)
17974 1
1.1%
16031 1
1.1%
15706 1
1.1%
13844 1
1.1%
12692 1
1.1%

9
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3637.847826
Minimum0
Maximum13622
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:21.407091image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11135
median2628
Q36237.25
95-th percentile9315.95
Maximum13622
Range13622
Interquartile range (IQR)5102.25

Descriptive statistics

Standard deviation3258.248494
Coefficient of variation (CV)0.8956527733
Kurtosis0.2790315795
Mean3637.847826
Median Absolute Deviation (MAD)2043
Skewness0.9440851642
Sum334682
Variance10616183.25
MonotonicityNot monotonic
2022-12-08T10:51:21.546234image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1599 1
 
1.1%
1352 1
 
1.1%
2603 1
 
1.1%
1120 1
 
1.1%
6841 1
 
1.1%
3527 1
 
1.1%
1140 1
 
1.1%
643 1
 
1.1%
2016 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
8 1
 
1.1%
29 1
 
1.1%
49 1
 
1.1%
100 1
 
1.1%
ValueCountFrequency (%)
13622 1
1.1%
13467 1
1.1%
10123 1
1.1%
9578 1
1.1%
9322 1
1.1%

10
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4573.652174
Minimum0
Maximum19214
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:21.699477image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11079.75
median3094
Q36907.25
95-th percentile12089.2
Maximum19214
Range19214
Interquartile range (IQR)5827.5

Descriptive statistics

Standard deviation4438.3815
Coefficient of variation (CV)0.9704239263
Kurtosis0.5709843623
Mean4573.652174
Median Absolute Deviation (MAD)2605
Skewness1.105125663
Sum420776
Variance19699230.34
MonotonicityNot monotonic
2022-12-08T10:51:21.831638image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
9339 2
 
2.2%
3146 2
 
2.2%
2286 1
 
1.1%
765 1
 
1.1%
2030 1
 
1.1%
1222 1
 
1.1%
7294 1
 
1.1%
4448 1
 
1.1%
1318 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 6
6.5%
48 1
 
1.1%
154 1
 
1.1%
173 1
 
1.1%
179 1
 
1.1%
ValueCountFrequency (%)
19214 1
1.1%
16653 1
1.1%
15257 1
1.1%
12611 1
1.1%
12164 1
1.1%

11
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5026.163043
Minimum0
Maximum18429
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:21.970779image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11309
median3400
Q38482.75
95-th percentile14218.95
Maximum18429
Range18429
Interquartile range (IQR)7173.75

Descriptive statistics

Standard deviation4779.930728
Coefficient of variation (CV)0.951009883
Kurtosis-0.08373959477
Mean5026.163043
Median Absolute Deviation (MAD)3070.5
Skewness0.9319148217
Sum462407
Variance22847737.76
MonotonicityNot monotonic
2022-12-08T10:51:22.098471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2269 1
 
1.1%
1725 1
 
1.1%
3607 1
 
1.1%
1704 1
 
1.1%
8530 1
 
1.1%
4828 1
 
1.1%
1452 1
 
1.1%
841 1
 
1.1%
3498 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
3 1
 
1.1%
6 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
18429 1
1.1%
17551 1
1.1%
16034 1
1.1%
14836 1
1.1%
14632 1
1.1%

12
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5559.358696
Minimum0
Maximum21350
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:22.259180image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.2
Q11684
median3754.5
Q39427.25
95-th percentile14306.6
Maximum21350
Range21350
Interquartile range (IQR)7743.25

Descriptive statistics

Standard deviation5114.83958
Coefficient of variation (CV)0.9200412961
Kurtosis0.3213566223
Mean5559.358696
Median Absolute Deviation (MAD)3145
Skewness1.00439975
Sum511461
Variance26161583.92
MonotonicityNot monotonic
2022-12-08T10:51:22.409804image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
1 2
 
2.2%
2735 1
 
1.1%
2198 1
 
1.1%
4373 1
 
1.1%
2403 1
 
1.1%
9473 1
 
1.1%
6158 1
 
1.1%
1708 1
 
1.1%
1504 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 2
2.2%
2 1
1.1%
6 1
1.1%
59 1
1.1%
ValueCountFrequency (%)
21350 1
1.1%
19218 1
1.1%
18687 1
1.1%
16158 1
1.1%
14718 1
1.1%

13
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5816.608696
Minimum0
Maximum21714
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:22.553317image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11381
median3639.5
Q39119.75
95-th percentile15852.15
Maximum21714
Range21714
Interquartile range (IQR)7738.75

Descriptive statistics

Standard deviation5518.243396
Coefficient of variation (CV)0.9487045948
Kurtosis0.0988722448
Mean5816.608696
Median Absolute Deviation (MAD)3144.5
Skewness1.002409406
Sum535128
Variance30451010.17
MonotonicityNot monotonic
2022-12-08T10:51:22.694967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3007 1
 
1.1%
3303 1
 
1.1%
4237 1
 
1.1%
1975 1
 
1.1%
11294 1
 
1.1%
5177 1
 
1.1%
2318 1
 
1.1%
1333 1
 
1.1%
4083 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
13 1
 
1.1%
26 1
 
1.1%
56 1
 
1.1%
ValueCountFrequency (%)
21714 1
1.1%
20792 1
1.1%
18914 1
1.1%
17099 1
1.1%
16010 1
1.1%

14
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5015.608696
Minimum0
Maximum20288
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:22.825131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.15
Q11060
median3008
Q38537.25
95-th percentile14049.25
Maximum20288
Range20288
Interquartile range (IQR)7477.25

Descriptive statistics

Standard deviation5051.978487
Coefficient of variation (CV)1.007251322
Kurtosis0.5829364051
Mean5015.608696
Median Absolute Deviation (MAD)2753
Skewness1.130827383
Sum461436
Variance25522486.64
MonotonicityNot monotonic
2022-12-08T10:51:22.957111image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2214 1
 
1.1%
1099 1
 
1.1%
2719 1
 
1.1%
1397 1
 
1.1%
9639 1
 
1.1%
4349 1
 
1.1%
1424 1
 
1.1%
771 1
 
1.1%
2186 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
13 1
 
1.1%
43 1
 
1.1%
47 1
 
1.1%
70 1
 
1.1%
ValueCountFrequency (%)
20288 1
1.1%
19809 1
1.1%
18294 1
1.1%
16376 1
1.1%
14261 1
1.1%

15
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5292.684783
Minimum0
Maximum21725
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:23.101746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.75
Q11594.75
median3144.5
Q38763.5
95-th percentile14493.85
Maximum21725
Range21725
Interquartile range (IQR)7168.75

Descriptive statistics

Standard deviation5174.013338
Coefficient of variation (CV)0.9775782142
Kurtosis0.7935829114
Mean5292.684783
Median Absolute Deviation (MAD)2810
Skewness1.184033806
Sum486927
Variance26770414.02
MonotonicityNot monotonic
2022-12-08T10:51:23.228920image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
1 2
 
2.2%
2468 1
 
1.1%
1453 1
 
1.1%
3100 1
 
1.1%
1755 1
 
1.1%
8846 1
 
1.1%
5106 1
 
1.1%
1931 1
 
1.1%
1119 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 2
2.2%
6 1
1.1%
31 1
1.1%
33 1
1.1%
ValueCountFrequency (%)
21725 1
1.1%
19845 1
1.1%
19632 1
1.1%
16966 1
1.1%
15095 1
1.1%

16
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4962.804348
Minimum0
Maximum18690
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:23.360603image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11365
median3199
Q38221.25
95-th percentile14214.25
Maximum18690
Range18690
Interquartile range (IQR)6856.25

Descriptive statistics

Standard deviation4704.128132
Coefficient of variation (CV)0.947877007
Kurtosis0.06015243225
Mean4962.804348
Median Absolute Deviation (MAD)2944
Skewness0.973734866
Sum456578
Variance22128821.48
MonotonicityNot monotonic
2022-12-08T10:51:23.494275image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2078 1
 
1.1%
1613 1
 
1.1%
3095 1
 
1.1%
1453 1
 
1.1%
8853 1
 
1.1%
3630 1
 
1.1%
1912 1
 
1.1%
1143 1
 
1.1%
1668 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
9 1
 
1.1%
67 1
 
1.1%
166 1
 
1.1%
ValueCountFrequency (%)
18690 1
1.1%
16222 1
1.1%
16169 1
1.1%
15718 1
1.1%
14624 1
1.1%

17
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5578.445652
Minimum0
Maximum23534
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:23.628431image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11418.5
median3480
Q38715.25
95-th percentile15121.2
Maximum23534
Range23534
Interquartile range (IQR)7296.75

Descriptive statistics

Standard deviation5549.915739
Coefficient of variation (CV)0.9948856877
Kurtosis0.5667025468
Mean5578.445652
Median Absolute Deviation (MAD)3002
Skewness1.137913032
Sum513217
Variance30801564.71
MonotonicityNot monotonic
2022-12-08T10:51:33.516759image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2497 1
 
1.1%
1318 1
 
1.1%
2572 1
 
1.1%
1711 1
 
1.1%
9032 1
 
1.1%
4775 1
 
1.1%
1832 1
 
1.1%
937 1
 
1.1%
3382 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
21 1
 
1.1%
135 1
 
1.1%
ValueCountFrequency (%)
23534 1
1.1%
21301 1
1.1%
18540 1
1.1%
16159 1
1.1%
15185 1
1.1%

18
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4900.195652
Minimum0
Maximum19379
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:33.687815image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.5
Q11471.25
median2966
Q38492.25
95-th percentile13711.4
Maximum19379
Range19379
Interquartile range (IQR)7021

Descriptive statistics

Standard deviation4780.492235
Coefficient of variation (CV)0.9755717065
Kurtosis0.3310244964
Mean4900.195652
Median Absolute Deviation (MAD)2687.5
Skewness1.072243589
Sum450818
Variance22853106.01
MonotonicityNot monotonic
2022-12-08T10:51:33.831076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2030 1
 
1.1%
10677 1
 
1.1%
2917 1
 
1.1%
1560 1
 
1.1%
9075 1
 
1.1%
3722 1
 
1.1%
1522 1
 
1.1%
1226 1
 
1.1%
2877 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
2 1
 
1.1%
3 1
 
1.1%
13 1
 
1.1%
14 1
 
1.1%
ValueCountFrequency (%)
19379 1
1.1%
18642 1
1.1%
16091 1
1.1%
14281 1
1.1%
13740 1
1.1%

19
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4215
Minimum0
Maximum16428
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:33.975208image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1875.75
median2728.5
Q37355.75
95-th percentile11213.75
Maximum16428
Range16428
Interquartile range (IQR)6480

Descriptive statistics

Standard deviation4073.901254
Coefficient of variation (CV)0.9665246155
Kurtosis0.1593991118
Mean4215
Median Absolute Deviation (MAD)2383.5
Skewness0.9951495602
Sum387780
Variance16596671.43
MonotonicityNot monotonic
2022-12-08T10:51:34.107966image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1914 1
 
1.1%
882 1
 
1.1%
2221 1
 
1.1%
857 1
 
1.1%
6481 1
 
1.1%
3672 1
 
1.1%
1293 1
 
1.1%
698 1
 
1.1%
1627 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
47 1
 
1.1%
64 1
 
1.1%
78 1
 
1.1%
137 1
 
1.1%
ValueCountFrequency (%)
16428 1
1.1%
15756 1
1.1%
13769 1
1.1%
11873 1
1.1%
11354 1
1.1%

20
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5477.98913
Minimum0
Maximum21180
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:34.242625image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.45
Q11677
median3508.5
Q38733
95-th percentile15193.75
Maximum21180
Range21180
Interquartile range (IQR)7056

Descriptive statistics

Standard deviation5178.181295
Coefficient of variation (CV)0.9452704582
Kurtosis0.5029421885
Mean5477.98913
Median Absolute Deviation (MAD)3064.5
Skewness1.075747339
Sum503975
Variance26813561.53
MonotonicityNot monotonic
2022-12-08T10:51:34.365802image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
11930 2
 
2.2%
3142 1
 
1.1%
11357 1
 
1.1%
1867 1
 
1.1%
9738 1
 
1.1%
4708 1
 
1.1%
2094 1
 
1.1%
1040 1
 
1.1%
2902 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
12 1
 
1.1%
31 1
 
1.1%
80 1
 
1.1%
81 1
 
1.1%
ValueCountFrequency (%)
21180 1
1.1%
19794 1
1.1%
19647 1
1.1%
16022 1
1.1%
15202 1
1.1%

21
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4942.054348
Minimum0
Maximum21717
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:34.510925image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11687.25
median3338.5
Q38065
95-th percentile12897.1
Maximum21717
Range21717
Interquartile range (IQR)6377.75

Descriptive statistics

Standard deviation4564.397165
Coefficient of variation (CV)0.9235829564
Kurtosis1.051561705
Mean4942.054348
Median Absolute Deviation (MAD)2961.5
Skewness1.123832941
Sum454669
Variance20833721.48
MonotonicityNot monotonic
2022-12-08T10:51:34.639598image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2667 1
 
1.1%
2888 1
 
1.1%
4086 1
 
1.1%
2455 1
 
1.1%
9361 1
 
1.1%
4327 1
 
1.1%
1809 1
 
1.1%
1367 1
 
1.1%
3572 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
21 1
 
1.1%
23 1
 
1.1%
95 1
 
1.1%
ValueCountFrequency (%)
21717 1
1.1%
16448 1
1.1%
16404 1
1.1%
13419 1
1.1%
12940 1
1.1%

22
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5357.684783
Minimum0
Maximum19978
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:34.780359image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11735
median3419
Q38663.75
95-th percentile13976.85
Maximum19978
Range19978
Interquartile range (IQR)6928.75

Descriptive statistics

Standard deviation4974.696052
Coefficient of variation (CV)0.9285160016
Kurtosis0.1004840651
Mean5357.684783
Median Absolute Deviation (MAD)3063
Skewness0.9534094491
Sum492907
Variance24747600.81
MonotonicityNot monotonic
2022-12-08T10:51:34.911516image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2537 1
 
1.1%
2512 1
 
1.1%
3533 1
 
1.1%
2046 1
 
1.1%
8918 1
 
1.1%
4829 1
 
1.1%
1365 1
 
1.1%
1255 1
 
1.1%
3888 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
28 1
 
1.1%
29 1
 
1.1%
63 1
 
1.1%
209 1
 
1.1%
ValueCountFrequency (%)
19978 1
1.1%
19779 1
1.1%
16047 1
1.1%
15540 1
1.1%
14446 1
1.1%

23
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4702.293478
Minimum0
Maximum19812
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:35.067748image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11298.75
median2574
Q37398.75
95-th percentile12922.45
Maximum19812
Range19812
Interquartile range (IQR)6100

Descriptive statistics

Standard deviation4678.994906
Coefficient of variation (CV)0.9950452747
Kurtosis0.7085486825
Mean4702.293478
Median Absolute Deviation (MAD)2424.5
Skewness1.16104369
Sum432611
Variance21892993.33
MonotonicityNot monotonic
2022-12-08T10:51:35.201899image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
5853 2
 
2.2%
2405 1
 
1.1%
8121 1
 
1.1%
1731 1
 
1.1%
2038 1
 
1.1%
1653 1
 
1.1%
8125 1
 
1.1%
4025 1
 
1.1%
1382 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
41 1
 
1.1%
55 1
 
1.1%
75 1
 
1.1%
ValueCountFrequency (%)
19812 1
1.1%
18614 1
1.1%
15890 1
1.1%
13536 1
1.1%
12945 1
1.1%

24
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5288.51087
Minimum0
Maximum21233
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:35.351149image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.95
Q11605
median3665.5
Q38800.5
95-th percentile14531.85
Maximum21233
Range21233
Interquartile range (IQR)7195.5

Descriptive statistics

Standard deviation4860.04121
Coefficient of variation (CV)0.9189810383
Kurtosis0.4230198955
Mean5288.51087
Median Absolute Deviation (MAD)3215.5
Skewness1.023079759
Sum486543
Variance23620000.56
MonotonicityNot monotonic
2022-12-08T10:51:35.484300image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2265 1
 
1.1%
10445 1
 
1.1%
3765 1
 
1.1%
2174 1
 
1.1%
7727 1
 
1.1%
4562 1
 
1.1%
1354 1
 
1.1%
1207 1
 
1.1%
3632 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
11 1
 
1.1%
20 1
 
1.1%
33 1
 
1.1%
ValueCountFrequency (%)
21233 1
1.1%
18130 1
1.1%
15594 1
1.1%
15009 1
1.1%
14902 1
1.1%

25
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4948.75
Minimum0
Maximum19814
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:35.635911image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.6
Q11669
median3140
Q37861.75
95-th percentile14016.95
Maximum19814
Range19814
Interquartile range (IQR)6192.75

Descriptive statistics

Standard deviation4624.20427
Coefficient of variation (CV)0.9344186452
Kurtosis0.6097943006
Mean4948.75
Median Absolute Deviation (MAD)2632.5
Skewness1.10115802
Sum455285
Variance21383265.13
MonotonicityNot monotonic
2022-12-08T10:51:35.793337image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2336 1
 
1.1%
3015 1
 
1.1%
3139 1
 
1.1%
2168 1
 
1.1%
9663 1
 
1.1%
3141 1
 
1.1%
1700 1
 
1.1%
1597 1
 
1.1%
4795 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
32 1
 
1.1%
33 1
 
1.1%
56 1
 
1.1%
81 1
 
1.1%
ValueCountFrequency (%)
19814 1
1.1%
17621 1
1.1%
16132 1
1.1%
15562 1
1.1%
14078 1
1.1%

26
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4576.163043
Minimum0
Maximum16579
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:35.944971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.35
Q11315
median2809.5
Q36705
95-th percentile12025.4
Maximum16579
Range16579
Interquartile range (IQR)5390

Descriptive statistics

Standard deviation4296.825929
Coefficient of variation (CV)0.938958225
Kurtosis-0.00320307605
Mean4576.163043
Median Absolute Deviation (MAD)2373.5
Skewness0.9706516312
Sum421007
Variance18462713.06
MonotonicityNot monotonic
2022-12-08T10:51:36.070152image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2500 1
 
1.1%
10595 1
 
1.1%
1945 1
 
1.1%
1447 1
 
1.1%
6501 1
 
1.1%
4891 1
 
1.1%
1291 1
 
1.1%
723 1
 
1.1%
2798 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
9 1
 
1.1%
26 1
 
1.1%
34 1
 
1.1%
50 1
 
1.1%
ValueCountFrequency (%)
16579 1
1.1%
16359 1
1.1%
14415 1
1.1%
13887 1
1.1%
12142 1
1.1%

27
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4281.793478
Minimum0
Maximum14486
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:36.200315image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.95
Q11105.25
median2891.5
Q37319
95-th percentile11496.9
Maximum14486
Range14486
Interquartile range (IQR)6213.75

Descriptive statistics

Standard deviation3870.472245
Coefficient of variation (CV)0.9039371619
Kurtosis-0.3369856884
Mean4281.793478
Median Absolute Deviation (MAD)2373.5
Skewness0.8391165811
Sum393925
Variance14980555.4
MonotonicityNot monotonic
2022-12-08T10:51:36.325019image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2136 1
 
1.1%
9595 1
 
1.1%
2600 1
 
1.1%
1515 1
 
1.1%
8530 1
 
1.1%
3755 1
 
1.1%
1156 1
 
1.1%
980 1
 
1.1%
3535 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
10 1
 
1.1%
13 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
14486 1
1.1%
13426 1
1.1%
13071 1
1.1%
12937 1
1.1%
11641 1
1.1%

28
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5311.478261
Minimum0
Maximum22518
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:36.466158image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47.75
Q11868.25
median3299.5
Q38143.75
95-th percentile13931.85
Maximum22518
Range22518
Interquartile range (IQR)6275.5

Descriptive statistics

Standard deviation4993.333605
Coefficient of variation (CV)0.9401024272
Kurtosis0.9666635856
Mean5311.478261
Median Absolute Deviation (MAD)2882.5
Skewness1.175383704
Sum488656
Variance24933380.49
MonotonicityNot monotonic
2022-12-08T10:51:36.598342image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
194 2
 
2.2%
1 2
 
2.2%
7843 1
 
1.1%
2166 1
 
1.1%
2892 1
 
1.1%
2076 1
 
1.1%
9788 1
 
1.1%
5935 1
 
1.1%
1995 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
86 1
 
1.1%
127 1
 
1.1%
172 1
 
1.1%
ValueCountFrequency (%)
22518 1
1.1%
19747 1
1.1%
17502 1
1.1%
15128 1
1.1%
14280 1
1.1%

29
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4119.576087
Minimum0
Maximum15628
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:36.731025image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11138.5
median3267.5
Q36830
95-th percentile9923.45
Maximum15628
Range15628
Interquartile range (IQR)5691.5

Descriptive statistics

Standard deviation3697.792107
Coefficient of variation (CV)0.897614713
Kurtosis0.2836725603
Mean4119.576087
Median Absolute Deviation (MAD)2782.5
Skewness0.9280480718
Sum379001
Variance13673666.47
MonotonicityNot monotonic
2022-12-08T10:51:36.859196image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1761 1
 
1.1%
1056 1
 
1.1%
2338 1
 
1.1%
1463 1
 
1.1%
6574 1
 
1.1%
3863 1
 
1.1%
856 1
 
1.1%
737 1
 
1.1%
1297 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
10 1
 
1.1%
17 1
 
1.1%
33 1
 
1.1%
110 1
 
1.1%
ValueCountFrequency (%)
15628 1
1.1%
14079 1
1.1%
13766 1
1.1%
11469 1
1.1%
10243 1
1.1%

30
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5962.967391
Minimum0
Maximum23750
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:36.989364image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.05
Q11750
median3883
Q39338.25
95-th percentile16496.75
Maximum23750
Range23750
Interquartile range (IQR)7588.25

Descriptive statistics

Standard deviation5547.861818
Coefficient of variation (CV)0.9303860737
Kurtosis0.4006483424
Mean5962.967391
Median Absolute Deviation (MAD)3389.5
Skewness1.023236371
Sum548593
Variance30778770.76
MonotonicityNot monotonic
2022-12-08T10:51:37.128025image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3018 1
 
1.1%
3395 1
 
1.1%
5060 1
 
1.1%
2072 1
 
1.1%
10204 1
 
1.1%
6669 1
 
1.1%
2168 1
 
1.1%
1773 1
 
1.1%
3773 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
11 1
 
1.1%
72 1
 
1.1%
110 1
 
1.1%
134 1
 
1.1%
ValueCountFrequency (%)
23750 1
1.1%
20505 1
1.1%
19451 1
1.1%
16772 1
1.1%
16582 1
1.1%

31
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5827.684783
Minimum0
Maximum23356
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:37.266781image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11625.75
median3268
Q39811.25
95-th percentile16258.35
Maximum23356
Range23356
Interquartile range (IQR)8185.5

Descriptive statistics

Standard deviation5695.237268
Coefficient of variation (CV)0.9772727044
Kurtosis0.2828764423
Mean5827.684783
Median Absolute Deviation (MAD)3020
Skewness1.041565053
Sum536147
Variance32435727.54
MonotonicityNot monotonic
2022-12-08T10:51:37.402933image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2755 1
 
1.1%
2366 1
 
1.1%
3781 1
 
1.1%
1997 1
 
1.1%
9963 1
 
1.1%
5247 1
 
1.1%
1701 1
 
1.1%
1082 1
 
1.1%
3197 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
7 1
 
1.1%
18 1
 
1.1%
87 1
 
1.1%
ValueCountFrequency (%)
23356 1
1.1%
21937 1
1.1%
18204 1
1.1%
17584 1
1.1%
16920 1
1.1%

32
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5246.217391
Minimum0
Maximum21163
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:37.533636image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11576.75
median3361
Q38385
95-th percentile14124.15
Maximum21163
Range21163
Interquartile range (IQR)6808.25

Descriptive statistics

Standard deviation4914.274574
Coefficient of variation (CV)0.9367272089
Kurtosis0.230966071
Mean5246.217391
Median Absolute Deviation (MAD)3012
Skewness0.9878575664
Sum482652
Variance24150094.59
MonotonicityNot monotonic
2022-12-08T10:51:37.662806image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2872 1
 
1.1%
2475 1
 
1.1%
3502 1
 
1.1%
1904 1
 
1.1%
10901 1
 
1.1%
4193 1
 
1.1%
2010 1
 
1.1%
1364 1
 
1.1%
3304 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
5 1
 
1.1%
50 1
 
1.1%
73 1
 
1.1%
ValueCountFrequency (%)
21163 1
1.1%
16885 1
1.1%
16193 1
1.1%
16067 1
1.1%
14392 1
1.1%

33
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4279.130435
Minimum0
Maximum15185
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:37.799518image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55
Q11091.25
median2889.5
Q36901
95-th percentile11393.3
Maximum15185
Range15185
Interquartile range (IQR)5809.75

Descriptive statistics

Standard deviation4016.95781
Coefficient of variation (CV)0.9387322661
Kurtosis-0.2379268607
Mean4279.130435
Median Absolute Deviation (MAD)2330
Skewness0.9321294617
Sum393680
Variance16135950.05
MonotonicityNot monotonic
2022-12-08T10:51:37.927251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1622 2
 
2.2%
1966 1
 
1.1%
10099 1
 
1.1%
5489 1
 
1.1%
3079 1
 
1.1%
819 1
 
1.1%
1105 1
 
1.1%
4446 1
 
1.1%
7780 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
4 1
 
1.1%
8 1
 
1.1%
44 1
 
1.1%
ValueCountFrequency (%)
15185 1
1.1%
13778 1
1.1%
13705 1
1.1%
13212 1
1.1%
11423 1
1.1%

34
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3934.923913
Minimum0
Maximum14258
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:38.064394image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q1879.5
median2389.5
Q36617.5
95-th percentile11324
Maximum14258
Range14258
Interquartile range (IQR)5738

Descriptive statistics

Standard deviation3780.913984
Coefficient of variation (CV)0.9608607606
Kurtosis-0.2347468457
Mean3934.923913
Median Absolute Deviation (MAD)2135
Skewness0.9150586272
Sum362013
Variance14295310.55
MonotonicityNot monotonic
2022-12-08T10:51:38.200538image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1773 1
 
1.1%
925 1
 
1.1%
2852 1
 
1.1%
1396 1
 
1.1%
7472 1
 
1.1%
4134 1
 
1.1%
980 1
 
1.1%
754 1
 
1.1%
2315 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
6 1
 
1.1%
28 1
 
1.1%
53 1
 
1.1%
ValueCountFrequency (%)
14258 1
1.1%
13235 1
1.1%
12091 1
1.1%
12035 1
1.1%
11533 1
1.1%

35
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5014.869565
Minimum0
Maximum19066
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:38.334207image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11567
median3219
Q38588.5
95-th percentile13338.8
Maximum19066
Range19066
Interquartile range (IQR)7021.5

Descriptive statistics

Standard deviation4775.211237
Coefficient of variation (CV)0.9522104563
Kurtosis0.3131051893
Mean5014.869565
Median Absolute Deviation (MAD)2849.5
Skewness1.042333475
Sum461368
Variance22802642.36
MonotonicityNot monotonic
2022-12-08T10:51:38.467365image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2216 1
 
1.1%
1573 1
 
1.1%
3248 1
 
1.1%
1786 1
 
1.1%
8797 1
 
1.1%
3268 1
 
1.1%
1620 1
 
1.1%
1033 1
 
1.1%
2724 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
60 1
 
1.1%
133 1
 
1.1%
140 1
 
1.1%
ValueCountFrequency (%)
19066 1
1.1%
18660 1
1.1%
17435 1
1.1%
14402 1
1.1%
13341 1
1.1%

36
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5292.782609
Minimum0
Maximum21042
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:38.614486image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11287.5
median3869.5
Q38638.75
95-th percentile14415.45
Maximum21042
Range21042
Interquartile range (IQR)7351.25

Descriptive statistics

Standard deviation4946.896405
Coefficient of variation (CV)0.9346494596
Kurtosis0.4916783136
Mean5292.782609
Median Absolute Deviation (MAD)3411.5
Skewness1.034422754
Sum486936
Variance24471784.04
MonotonicityNot monotonic
2022-12-08T10:51:38.747692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 3
 
3.3%
8863 2
 
2.2%
2325 1
 
1.1%
8330 1
 
1.1%
4197 1
 
1.1%
4731 1
 
1.1%
1930 1
 
1.1%
9694 1
 
1.1%
4792 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 4
4.3%
1 3
3.3%
5 1
 
1.1%
58 1
 
1.1%
143 1
 
1.1%
ValueCountFrequency (%)
21042 1
1.1%
19412 1
1.1%
16664 1
1.1%
15237 1
1.1%
14438 1
1.1%

37
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4363.152174
Minimum0
Maximum19263
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:38.889434image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1934
median2754.5
Q37032.5
95-th percentile11912.75
Maximum19263
Range19263
Interquartile range (IQR)6098.5

Descriptive statistics

Standard deviation4319.688091
Coefficient of variation (CV)0.9900383758
Kurtosis1.025049516
Mean4363.152174
Median Absolute Deviation (MAD)2502.5
Skewness1.189715868
Sum401410
Variance18659705.21
MonotonicityNot monotonic
2022-12-08T10:51:39.027095image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2422 1
 
1.1%
1469 1
 
1.1%
3240 1
 
1.1%
906 1
 
1.1%
8367 1
 
1.1%
3473 1
 
1.1%
1679 1
 
1.1%
667 1
 
1.1%
2627 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
16 1
 
1.1%
69 1
 
1.1%
112 1
 
1.1%
ValueCountFrequency (%)
19263 1
1.1%
16779 1
1.1%
15574 1
1.1%
13217 1
1.1%
12196 1
1.1%

38
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5141.771739
Minimum0
Maximum21481
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:39.164244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.95
Q11073.75
median3346
Q38600.75
95-th percentile13752.7
Maximum21481
Range21481
Interquartile range (IQR)7527

Descriptive statistics

Standard deviation4989.305733
Coefficient of variation (CV)0.9703475739
Kurtosis0.3775379023
Mean5141.771739
Median Absolute Deviation (MAD)3028.5
Skewness1.041813097
Sum473043
Variance24893171.69
MonotonicityNot monotonic
2022-12-08T10:51:39.295407image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2577 1
 
1.1%
10707 1
 
1.1%
2507 1
 
1.1%
1013 1
 
1.1%
9344 1
 
1.1%
4056 1
 
1.1%
1960 1
 
1.1%
747 1
 
1.1%
2459 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
12 1
 
1.1%
35 1
 
1.1%
180 1
 
1.1%
ValueCountFrequency (%)
21481 1
1.1%
17561 1
1.1%
17378 1
1.1%
15734 1
1.1%
13855 1
1.1%

39
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4878.902174
Minimum0
Maximum18829
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:39.422917image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.05
Q11424.75
median3357
Q37949
95-th percentile13037.25
Maximum18829
Range18829
Interquartile range (IQR)6524.25

Descriptive statistics

Standard deviation4542.629766
Coefficient of variation (CV)0.9310762142
Kurtosis0.1552098832
Mean4878.902174
Median Absolute Deviation (MAD)2973
Skewness0.9744750911
Sum448859
Variance20635485.19
MonotonicityNot monotonic
2022-12-08T10:51:39.552428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1957 1
 
1.1%
9533 1
 
1.1%
3115 1
 
1.1%
2046 1
 
1.1%
9565 1
 
1.1%
4394 1
 
1.1%
2553 1
 
1.1%
1028 1
 
1.1%
2930 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
14 1
 
1.1%
22 1
 
1.1%
42 1
 
1.1%
ValueCountFrequency (%)
18829 1
1.1%
16590 1
1.1%
15406 1
1.1%
14829 1
1.1%
13326 1
1.1%

40
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5591.663043
Minimum0
Maximum20803
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:39.690571image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.9
Q11589.25
median3577
Q39000.5
95-th percentile16399
Maximum20803
Range20803
Interquartile range (IQR)7411.25

Descriptive statistics

Standard deviation5393.122774
Coefficient of variation (CV)0.9644935205
Kurtosis0.3816230398
Mean5591.663043
Median Absolute Deviation (MAD)3065.5
Skewness1.08228099
Sum514433
Variance29085773.26
MonotonicityNot monotonic
2022-12-08T10:51:39.809764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2168 1
 
1.1%
10937 1
 
1.1%
3405 1
 
1.1%
1772 1
 
1.1%
9959 1
 
1.1%
5820 1
 
1.1%
1780 1
 
1.1%
1034 1
 
1.1%
3884 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
21 1
 
1.1%
23 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
20803 1
1.1%
19916 1
1.1%
19590 1
1.1%
18804 1
1.1%
18115 1
1.1%

41
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5259.01087
Minimum0
Maximum19815
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:39.951403image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11450
median3348
Q38277
95-th percentile13678.75
Maximum19815
Range19815
Interquartile range (IQR)6827

Descriptive statistics

Standard deviation4940.771645
Coefficient of variation (CV)0.939486867
Kurtosis0.1218620413
Mean5259.01087
Median Absolute Deviation (MAD)3017
Skewness0.9795980832
Sum483829
Variance24411224.45
MonotonicityNot monotonic
2022-12-08T10:51:40.080238image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
12488 2
 
2.2%
8277 2
 
2.2%
2967 1
 
1.1%
1360 1
 
1.1%
3381 1
 
1.1%
1480 1
 
1.1%
9476 1
 
1.1%
4489 1
 
1.1%
1746 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
5 1
 
1.1%
24 1
 
1.1%
106 1
 
1.1%
ValueCountFrequency (%)
19815 1
1.1%
19092 1
1.1%
16637 1
1.1%
15324 1
1.1%
14072 1
1.1%

42
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4605.423913
Minimum0
Maximum18149
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:40.223368image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11162.25
median2773.5
Q37235.5
95-th percentile12487.65
Maximum18149
Range18149
Interquartile range (IQR)6073.25

Descriptive statistics

Standard deviation4463.203241
Coefficient of variation (CV)0.9691188749
Kurtosis0.3404178845
Mean4605.423913
Median Absolute Deviation (MAD)2495
Skewness1.057808801
Sum423699
Variance19920183.17
MonotonicityNot monotonic
2022-12-08T10:51:40.364873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2 2
 
2.2%
2390 1
 
1.1%
6895 1
 
1.1%
2063 1
 
1.1%
3368 1
 
1.1%
1563 1
 
1.1%
8328 1
 
1.1%
3108 1
 
1.1%
1304 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 2
 
2.2%
21 1
 
1.1%
40 1
 
1.1%
120 1
 
1.1%
ValueCountFrequency (%)
18149 1
1.1%
16908 1
1.1%
15900 1
1.1%
14083 1
1.1%
12596 1
1.1%

43
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4455.565217
Minimum0
Maximum16814
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:40.532444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q1979.75
median2925.5
Q37329.75
95-th percentile11195.8
Maximum16814
Range16814
Interquartile range (IQR)6350

Descriptive statistics

Standard deviation4225.903923
Coefficient of variation (CV)0.9484551828
Kurtosis0.2959400098
Mean4455.565217
Median Absolute Deviation (MAD)2609
Skewness0.9983541785
Sum409912
Variance17858263.96
MonotonicityNot monotonic
2022-12-08T10:51:40.659617image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2125 1
 
1.1%
989 1
 
1.1%
2152 1
 
1.1%
1496 1
 
1.1%
7823 1
 
1.1%
3886 1
 
1.1%
1520 1
 
1.1%
725 1
 
1.1%
1857 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
65 1
 
1.1%
154 1
 
1.1%
240 1
 
1.1%
ValueCountFrequency (%)
16814 1
1.1%
16658 1
1.1%
16077 1
1.1%
12091 1
1.1%
11352 1
1.1%

44
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5743.043478
Minimum0
Maximum25051
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:40.793767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11366.75
median3660
Q39484
95-th percentile15385.3
Maximum25051
Range25051
Interquartile range (IQR)8117.25

Descriptive statistics

Standard deviation5541.068344
Coefficient of variation (CV)0.9648313416
Kurtosis0.7626921695
Mean5743.043478
Median Absolute Deviation (MAD)3245
Skewness1.117088243
Sum528360
Variance30703438.39
MonotonicityNot monotonic
2022-12-08T10:51:40.937451image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3328 1
 
1.1%
1796 1
 
1.1%
3650 1
 
1.1%
1809 1
 
1.1%
9538 1
 
1.1%
4695 1
 
1.1%
1856 1
 
1.1%
1049 1
 
1.1%
2935 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
32 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
25051 1
1.1%
20745 1
1.1%
18606 1
1.1%
16078 1
1.1%
15833 1
1.1%

45
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4769.51087
Minimum0
Maximum19379
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:41.085563image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.95
Q11277
median2878.5
Q37990.75
95-th percentile13746.95
Maximum19379
Range19379
Interquartile range (IQR)6713.75

Descriptive statistics

Standard deviation4647.515327
Coefficient of variation (CV)0.9744217917
Kurtosis0.220489621
Mean4769.51087
Median Absolute Deviation (MAD)2573
Skewness1.040008744
Sum438795
Variance21599398.71
MonotonicityNot monotonic
2022-12-08T10:51:41.243163image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2840 1
 
1.1%
9864 1
 
1.1%
2481 1
 
1.1%
1298 1
 
1.1%
8885 1
 
1.1%
3344 1
 
1.1%
1485 1
 
1.1%
1024 1
 
1.1%
1935 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
5 1
 
1.1%
14 1
 
1.1%
36 1
 
1.1%
48 1
 
1.1%
ValueCountFrequency (%)
19379 1
1.1%
15541 1
1.1%
15509 1
1.1%
15387 1
1.1%
14501 1
1.1%

46
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5144.304348
Minimum0
Maximum21990
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:41.384915image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11279.25
median2997
Q38393.5
95-th percentile14053.55
Maximum21990
Range21990
Interquartile range (IQR)7114.25

Descriptive statistics

Standard deviation5077.302407
Coefficient of variation (CV)0.9869755099
Kurtosis0.8061142506
Mean5144.304348
Median Absolute Deviation (MAD)2664.5
Skewness1.148719887
Sum473276
Variance25778999.73
MonotonicityNot monotonic
2022-12-08T10:51:41.507097image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2997 2
 
2.2%
2211 1
 
1.1%
1609 1
 
1.1%
1717 1
 
1.1%
9214 1
 
1.1%
5092 1
 
1.1%
1795 1
 
1.1%
776 1
 
1.1%
2860 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
43 1
 
1.1%
73 1
 
1.1%
142 1
 
1.1%
ValueCountFrequency (%)
21990 1
1.1%
19073 1
1.1%
18778 1
1.1%
16598 1
1.1%
14845 1
1.1%

47
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4381.391304
Minimum0
Maximum17765
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:41.632778image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11187
median2821.5
Q37142
95-th percentile12348.3
Maximum17765
Range17765
Interquartile range (IQR)5955

Descriptive statistics

Standard deviation4254.944803
Coefficient of variation (CV)0.971140103
Kurtosis0.2991156077
Mean4381.391304
Median Absolute Deviation (MAD)2428
Skewness1.047457037
Sum403088
Variance18104555.27
MonotonicityNot monotonic
2022-12-08T10:51:41.775534image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1948 1
 
1.1%
1679 1
 
1.1%
2434 1
 
1.1%
1145 1
 
1.1%
7576 1
 
1.1%
3736 1
 
1.1%
1026 1
 
1.1%
619 1
 
1.1%
2648 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
22 1
 
1.1%
46 1
 
1.1%
86 1
 
1.1%
ValueCountFrequency (%)
17765 1
1.1%
15720 1
1.1%
14183 1
1.1%
12605 1
1.1%
12554 1
1.1%

48
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5384.01087
Minimum0
Maximum19636
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:41.924649image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11806.25
median3403
Q38385.75
95-th percentile15547.2
Maximum19636
Range19636
Interquartile range (IQR)6579.5

Descriptive statistics

Standard deviation5007.567286
Coefficient of variation (CV)0.9300811991
Kurtosis0.18318224
Mean5384.01087
Median Absolute Deviation (MAD)3057.5
Skewness1.00495022
Sum495329
Variance25075730.12
MonotonicityNot monotonic
2022-12-08T10:51:42.061301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
903 2
 
2.2%
2530 1
 
1.1%
9894 1
 
1.1%
2010 1
 
1.1%
7973 1
 
1.1%
4701 1
 
1.1%
1360 1
 
1.1%
1436 1
 
1.1%
3236 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
34 1
 
1.1%
45 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
19636 1
1.1%
19596 1
1.1%
16084 1
1.1%
15907 1
1.1%
15600 1
1.1%

49
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5652.413043
Minimum0
Maximum21203
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:42.193106image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.15
Q11618.5
median3507
Q39362
95-th percentile16108.95
Maximum21203
Range21203
Interquartile range (IQR)7743.5

Descriptive statistics

Standard deviation5385.984896
Coefficient of variation (CV)0.9528647066
Kurtosis-0.1509421997
Mean5652.413043
Median Absolute Deviation (MAD)3199.5
Skewness0.9414611166
Sum520022
Variance29008833.3
MonotonicityNot monotonic
2022-12-08T10:51:42.311303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2920 1
 
1.1%
2353 1
 
1.1%
3802 1
 
1.1%
1630 1
 
1.1%
10619 1
 
1.1%
4586 1
 
1.1%
1720 1
 
1.1%
1193 1
 
1.1%
3216 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
13 1
 
1.1%
33 1
 
1.1%
46 1
 
1.1%
68 1
 
1.1%
ValueCountFrequency (%)
21203 1
1.1%
18883 1
1.1%
17090 1
1.1%
16942 1
1.1%
16412 1
1.1%

50
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4481.543478
Minimum0
Maximum18681
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:42.466909image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11298.75
median2829
Q37709.5
95-th percentile11894
Maximum18681
Range18681
Interquartile range (IQR)6410.75

Descriptive statistics

Standard deviation4267.75785
Coefficient of variation (CV)0.9522964288
Kurtosis0.4591389408
Mean4481.543478
Median Absolute Deviation (MAD)2505
Skewness1.040106506
Sum412302
Variance18213757.06
MonotonicityNot monotonic
2022-12-08T10:51:42.598070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1955 1
 
1.1%
2213 1
 
1.1%
3779 1
 
1.1%
1592 1
 
1.1%
8209 1
 
1.1%
2800 1
 
1.1%
1658 1
 
1.1%
1158 1
 
1.1%
2768 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
24 1
 
1.1%
34 1
 
1.1%
79 1
 
1.1%
ValueCountFrequency (%)
18681 1
1.1%
16481 1
1.1%
13598 1
1.1%
12668 1
1.1%
12356 1
1.1%

51
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4335.717391
Minimum0
Maximum14470
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:42.735531image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.15
Q1810.75
median3342.5
Q37296.5
95-th percentile12241.35
Maximum14470
Range14470
Interquartile range (IQR)6485.75

Descriptive statistics

Standard deviation4048.434464
Coefficient of variation (CV)0.9337403938
Kurtosis-0.4243065512
Mean4335.717391
Median Absolute Deviation (MAD)2763
Skewness0.8226138357
Sum398886
Variance16389821.61
MonotonicityNot monotonic
2022-12-08T10:51:42.866691image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1462 1
 
1.1%
8103 1
 
1.1%
1710 1
 
1.1%
1324 1
 
1.1%
7091 1
 
1.1%
4924 1
 
1.1%
1350 1
 
1.1%
690 1
 
1.1%
851 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
10 1
 
1.1%
24 1
 
1.1%
57 1
 
1.1%
72 1
 
1.1%
ValueCountFrequency (%)
14470 1
1.1%
14068 1
1.1%
13315 1
1.1%
13125 1
1.1%
12265 1
1.1%

52
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4099.586957
Minimum0
Maximum16085
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:43.010812image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.85
Q11282.75
median2640.5
Q36707.25
95-th percentile10406.1
Maximum16085
Range16085
Interquartile range (IQR)5424.5

Descriptive statistics

Standard deviation3903.941131
Coefficient of variation (CV)0.9522766982
Kurtosis0.4199739611
Mean4099.586957
Median Absolute Deviation (MAD)2423
Skewness1.049001416
Sum377162
Variance15240756.35
MonotonicityNot monotonic
2022-12-08T10:51:43.132515image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
32 2
 
2.2%
1927 1
 
1.1%
9017 1
 
1.1%
1456 1
 
1.1%
7390 1
 
1.1%
3052 1
 
1.1%
1199 1
 
1.1%
782 1
 
1.1%
2636 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
8 1
 
1.1%
21 1
 
1.1%
32 2
2.2%
ValueCountFrequency (%)
16085 1
1.1%
15790 1
1.1%
13764 1
1.1%
11248 1
1.1%
10471 1
1.1%

53
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5313.902174
Minimum0
Maximum21917
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:43.276268image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q11685
median3542
Q38657.75
95-th percentile14631.1
Maximum21917
Range21917
Interquartile range (IQR)6972.75

Descriptive statistics

Standard deviation4918.166616
Coefficient of variation (CV)0.9255282568
Kurtosis0.4629890388
Mean5313.902174
Median Absolute Deviation (MAD)3103
Skewness1.027898381
Sum488879
Variance24188362.86
MonotonicityNot monotonic
2022-12-08T10:51:43.419884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2 2
 
2.2%
2153 1
 
1.1%
1642 1
 
1.1%
2592 1
 
1.1%
1755 1
 
1.1%
9915 1
 
1.1%
4649 1
 
1.1%
2201 1
 
1.1%
671 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
2 2
2.2%
4 1
 
1.1%
46 1
 
1.1%
150 1
 
1.1%
ValueCountFrequency (%)
21917 1
1.1%
17424 1
1.1%
16668 1
1.1%
15580 1
1.1%
15279 1
1.1%

54
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5665.380435
Minimum0
Maximum22599
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:43.552561image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.95
Q11954.25
median3564.5
Q38475.5
95-th percentile15885.3
Maximum22599
Range22599
Interquartile range (IQR)6521.25

Descriptive statistics

Standard deviation5156.004305
Coefficient of variation (CV)0.9100896867
Kurtosis0.35000693
Mean5665.380435
Median Absolute Deviation (MAD)3156.5
Skewness1.000671165
Sum521215
Variance26584380.39
MonotonicityNot monotonic
2022-12-08T10:51:43.689707image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2954 1
 
1.1%
15146 1
 
1.1%
2220 1
 
1.1%
8807 1
 
1.1%
4828 1
 
1.1%
1988 1
 
1.1%
1513 1
 
1.1%
4131 1
 
1.1%
7576 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
3 1
1.1%
4 1
1.1%
10 1
1.1%
19 1
1.1%
ValueCountFrequency (%)
22599 1
1.1%
18358 1
1.1%
16421 1
1.1%
16364 1
1.1%
15893 1
1.1%

55
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5727.554348
Minimum0
Maximum22928
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:43.828851image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11552
median3727
Q39100.25
95-th percentile15458.35
Maximum22928
Range22928
Interquartile range (IQR)7548.25

Descriptive statistics

Standard deviation5351.14941
Coefficient of variation (CV)0.9342817344
Kurtosis0.2066856612
Mean5727.554348
Median Absolute Deviation (MAD)3321.5
Skewness0.9886796139
Sum526935
Variance28634800.01
MonotonicityNot monotonic
2022-12-08T10:51:43.961529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2 2
 
2.2%
2442 1
 
1.1%
2292 1
 
1.1%
3741 1
 
1.1%
2143 1
 
1.1%
11259 1
 
1.1%
4686 1
 
1.1%
2447 1
 
1.1%
1495 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 2
2.2%
12 1
 
1.1%
93 1
 
1.1%
ValueCountFrequency (%)
22928 1
1.1%
19066 1
1.1%
16616 1
1.1%
16391 1
1.1%
15922 1
1.1%

56
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4805.021739
Minimum0
Maximum19221
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:44.095681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11074.75
median3001.5
Q37737.25
95-th percentile12974.15
Maximum19221
Range19221
Interquartile range (IQR)6662.5

Descriptive statistics

Standard deviation4676.545898
Coefficient of variation (CV)0.9732621728
Kurtosis0.3257980976
Mean4805.021739
Median Absolute Deviation (MAD)2733
Skewness1.03704432
Sum442062
Variance21870081.54
MonotonicityNot monotonic
2022-12-08T10:51:44.238333image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2255 1
 
1.1%
803 1
 
1.1%
2802 1
 
1.1%
1371 1
 
1.1%
7571 1
 
1.1%
4239 1
 
1.1%
1979 1
 
1.1%
809 1
 
1.1%
1186 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
8 1
 
1.1%
9 1
 
1.1%
70 1
 
1.1%
ValueCountFrequency (%)
19221 1
1.1%
17073 1
1.1%
16687 1
1.1%
15544 1
1.1%
13088 1
1.1%

57
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5754.836957
Minimum0
Maximum22126
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:44.377088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11398.25
median3498.5
Q39183.75
95-th percentile17079.4
Maximum22126
Range22126
Interquartile range (IQR)7785.5

Descriptive statistics

Standard deviation5610.698819
Coefficient of variation (CV)0.9749535671
Kurtosis-0.04456529148
Mean5754.836957
Median Absolute Deviation (MAD)2976.5
Skewness1.009641374
Sum529445
Variance31479941.24
MonotonicityNot monotonic
2022-12-08T10:51:44.503270image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2668 1
 
1.1%
2237 1
 
1.1%
4451 1
 
1.1%
2220 1
 
1.1%
7553 1
 
1.1%
4716 1
 
1.1%
1233 1
 
1.1%
1237 1
 
1.1%
4561 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
5 1
 
1.1%
28 1
 
1.1%
30 1
 
1.1%
ValueCountFrequency (%)
22126 1
1.1%
18499 1
1.1%
18148 1
1.1%
18045 1
1.1%
17207 1
1.1%

58
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5926.706522
Minimum0
Maximum22462
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:44.655218image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q11756.5
median3433.5
Q310425.5
95-th percentile16564.6
Maximum22462
Range22462
Interquartile range (IQR)8669

Descriptive statistics

Standard deviation5598.743373
Coefficient of variation (CV)0.9446635078
Kurtosis0.3137389982
Mean5926.706522
Median Absolute Deviation (MAD)3197.5
Skewness1.021528907
Sum545257
Variance31345927.35
MonotonicityNot monotonic
2022-12-08T10:51:44.810309image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2554 1
 
1.1%
12054 1
 
1.1%
4006 1
 
1.1%
1743 1
 
1.1%
11124 1
 
1.1%
5262 1
 
1.1%
2286 1
 
1.1%
1021 1
 
1.1%
3428 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
7 1
 
1.1%
13 1
 
1.1%
49 1
 
1.1%
ValueCountFrequency (%)
22462 1
1.1%
21407 1
1.1%
20560 1
1.1%
17838 1
1.1%
16712 1
1.1%

59
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5592.695652
Minimum0
Maximum20920
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:44.945603image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11537.25
median3356
Q39284.25
95-th percentile15960
Maximum20920
Range20920
Interquartile range (IQR)7747

Descriptive statistics

Standard deviation5432.053508
Coefficient of variation (CV)0.9712764373
Kurtosis0.2352627972
Mean5592.695652
Median Absolute Deviation (MAD)3125.5
Skewness1.03846689
Sum514528
Variance29507205.31
MonotonicityNot monotonic
2022-12-08T10:51:45.078759image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3504 2
 
2.2%
3 2
 
2.2%
8053 1
 
1.1%
3291 1
 
1.1%
3326 1
 
1.1%
1732 1
 
1.1%
10849 1
 
1.1%
3978 1
 
1.1%
1656 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
3 2
 
2.2%
49 1
 
1.1%
129 1
 
1.1%
ValueCountFrequency (%)
20920 1
1.1%
20377 1
1.1%
19968 1
1.1%
17448 1
1.1%
17093 1
1.1%

60
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3949.293478
Minimum0
Maximum15352
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:45.205926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q1885.75
median2433
Q36694
95-th percentile10670.85
Maximum15352
Range15352
Interquartile range (IQR)5808.25

Descriptive statistics

Standard deviation3900.634684
Coefficient of variation (CV)0.987679114
Kurtosis0.113481658
Mean3949.293478
Median Absolute Deviation (MAD)2080
Skewness1.030130449
Sum363335
Variance15214950.93
MonotonicityNot monotonic
2022-12-08T10:51:45.347574image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1709 1
 
1.1%
548 1
 
1.1%
2296 1
 
1.1%
970 1
 
1.1%
6581 1
 
1.1%
3775 1
 
1.1%
1391 1
 
1.1%
633 1
 
1.1%
1486 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
6 1
 
1.1%
84 1
 
1.1%
ValueCountFrequency (%)
15352 1
1.1%
14234 1
1.1%
13974 1
1.1%
11577 1
1.1%
10887 1
1.1%

61
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5405.054348
Minimum0
Maximum23116
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:45.482719image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11503.75
median3182
Q38742.5
95-th percentile14653.25
Maximum23116
Range23116
Interquartile range (IQR)7238.75

Descriptive statistics

Standard deviation5231.515708
Coefficient of variation (CV)0.9678932664
Kurtosis0.6266788074
Mean5405.054348
Median Absolute Deviation (MAD)2937
Skewness1.099228296
Sum497265
Variance27368756.6
MonotonicityNot monotonic
2022-12-08T10:51:45.609892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2395 2
 
2.2%
2510 1
 
1.1%
12074 1
 
1.1%
1865 1
 
1.1%
8713 1
 
1.1%
3965 1
 
1.1%
1341 1
 
1.1%
1558 1
 
1.1%
3842 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
3 1
 
1.1%
5 1
 
1.1%
24 1
 
1.1%
ValueCountFrequency (%)
23116 1
1.1%
20071 1
1.1%
17034 1
1.1%
15471 1
1.1%
15448 1
1.1%

62
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4658.423913
Minimum0
Maximum18326
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:45.737908image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11342.25
median3303
Q37401.5
95-th percentile12204.4
Maximum18326
Range18326
Interquartile range (IQR)6059.25

Descriptive statistics

Standard deviation4288.425163
Coefficient of variation (CV)0.9205742635
Kurtosis0.7385738681
Mean4658.423913
Median Absolute Deviation (MAD)2927
Skewness1.073771612
Sum428575
Variance18390590.38
MonotonicityNot monotonic
2022-12-08T10:51:45.864087image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1955 1
 
1.1%
1712 1
 
1.1%
3648 1
 
1.1%
1506 1
 
1.1%
8358 1
 
1.1%
5295 1
 
1.1%
1846 1
 
1.1%
955 1
 
1.1%
2386 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
4 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
ValueCountFrequency (%)
18326 1
1.1%
16750 1
1.1%
16552 1
1.1%
13646 1
1.1%
12772 1
1.1%

63
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5513.619565
Minimum0
Maximum22575
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:46.007219image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.15
Q11818.25
median3564
Q38832.75
95-th percentile15204.75
Maximum22575
Range22575
Interquartile range (IQR)7014.5

Descriptive statistics

Standard deviation5240.670641
Coefficient of variation (CV)0.95049551
Kurtosis0.6773926391
Mean5513.619565
Median Absolute Deviation (MAD)3073.5
Skewness1.115117351
Sum507253
Variance27464628.77
MonotonicityNot monotonic
2022-12-08T10:51:46.137902image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
3 2
 
2.2%
2502 1
 
1.1%
2786 1
 
1.1%
5112 1
 
1.1%
1968 1
 
1.1%
10195 1
 
1.1%
4362 1
 
1.1%
1895 1
 
1.1%
1270 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
3 2
2.2%
16 1
 
1.1%
17 1
 
1.1%
22 1
 
1.1%
ValueCountFrequency (%)
22575 1
1.1%
20728 1
1.1%
18114 1
1.1%
15573 1
1.1%
15411 1
1.1%

64
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5316.326087
Minimum0
Maximum20676
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:46.266075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11379.25
median3623.5
Q39005.25
95-th percentile13873.6
Maximum20676
Range20676
Interquartile range (IQR)7626

Descriptive statistics

Standard deviation4911.34192
Coefficient of variation (CV)0.9238225495
Kurtosis-0.08539192934
Mean5316.326087
Median Absolute Deviation (MAD)3275.5
Skewness0.8971430519
Sum489102
Variance24121279.45
MonotonicityNot monotonic
2022-12-08T10:51:47.100229image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2623 1
 
1.1%
1704 1
 
1.1%
4030 1
 
1.1%
2060 1
 
1.1%
9225 1
 
1.1%
4449 1
 
1.1%
1924 1
 
1.1%
1410 1
 
1.1%
2908 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
9 1
 
1.1%
15 1
 
1.1%
44 1
 
1.1%
ValueCountFrequency (%)
20676 1
1.1%
16437 1
1.1%
16035 1
1.1%
14468 1
1.1%
13878 1
1.1%

65
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5696.978261
Minimum0
Maximum21424
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:47.232956image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11388.75
median3918.5
Q39424.5
95-th percentile15731.4
Maximum21424
Range21424
Interquartile range (IQR)8035.75

Descriptive statistics

Standard deviation5409.023218
Coefficient of variation (CV)0.9494547759
Kurtosis0.1332841279
Mean5696.978261
Median Absolute Deviation (MAD)3360.5
Skewness0.9814370616
Sum524122
Variance29257532.18
MonotonicityNot monotonic
2022-12-08T10:51:47.359303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3236 1
 
1.1%
2192 1
 
1.1%
4516 1
 
1.1%
2135 1
 
1.1%
11693 1
 
1.1%
4574 1
 
1.1%
1748 1
 
1.1%
1265 1
 
1.1%
3699 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
21 1
 
1.1%
30 1
 
1.1%
137 1
 
1.1%
ValueCountFrequency (%)
21424 1
1.1%
20872 1
1.1%
18142 1
1.1%
16957 1
1.1%
16255 1
1.1%

66
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5040.01087
Minimum0
Maximum19135
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:47.486507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11625
median3035
Q37929
95-th percentile14088.95
Maximum19135
Range19135
Interquartile range (IQR)6304

Descriptive statistics

Standard deviation4817.785168
Coefficient of variation (CV)0.9559076939
Kurtosis0.02132833652
Mean5040.01087
Median Absolute Deviation (MAD)2712.5
Skewness0.992066382
Sum463681
Variance23211053.92
MonotonicityNot monotonic
2022-12-08T10:51:47.616645image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2345 1
 
1.1%
1613 1
 
1.1%
3682 1
 
1.1%
1629 1
 
1.1%
10850 1
 
1.1%
3459 1
 
1.1%
1811 1
 
1.1%
998 1
 
1.1%
2166 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
27 1
 
1.1%
145 1
 
1.1%
165 1
 
1.1%
179 1
 
1.1%
ValueCountFrequency (%)
19135 1
1.1%
16745 1
1.1%
16718 1
1.1%
15294 1
1.1%
14227 1
1.1%

67
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4858.304348
Minimum0
Maximum18648
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:47.758860image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11461
median3091.5
Q37966
95-th percentile13054.85
Maximum18648
Range18648
Interquartile range (IQR)6505

Descriptive statistics

Standard deviation4524.881276
Coefficient of variation (CV)0.9313704849
Kurtosis0.09152870941
Mean4858.304348
Median Absolute Deviation (MAD)2789
Skewness0.9658074492
Sum446964
Variance20474550.57
MonotonicityNot monotonic
2022-12-08T10:51:47.893013image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2570 1
 
1.1%
1465 1
 
1.1%
2797 1
 
1.1%
2001 1
 
1.1%
9458 1
 
1.1%
4171 1
 
1.1%
1650 1
 
1.1%
983 1
 
1.1%
2656 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
6 1
 
1.1%
13 1
 
1.1%
124 1
 
1.1%
ValueCountFrequency (%)
18648 1
1.1%
16056 1
1.1%
16016 1
1.1%
13830 1
1.1%
13095 1
1.1%

68
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4027.054348
Minimum0
Maximum14084
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:48.029164image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q1933.5
median2822.5
Q36730
95-th percentile10884.35
Maximum14084
Range14084
Interquartile range (IQR)5796.5

Descriptive statistics

Standard deviation3747.981794
Coefficient of variation (CV)0.9307005741
Kurtosis-0.3542195689
Mean4027.054348
Median Absolute Deviation (MAD)2498.5
Skewness0.8611570211
Sum370489
Variance14047367.52
MonotonicityNot monotonic
2022-12-08T10:51:48.155849image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1971 1
 
1.1%
1586 1
 
1.1%
2560 1
 
1.1%
956 1
 
1.1%
6000 1
 
1.1%
4269 1
 
1.1%
1184 1
 
1.1%
866 1
 
1.1%
2085 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
10 1
 
1.1%
27 1
 
1.1%
33 1
 
1.1%
ValueCountFrequency (%)
14084 1
1.1%
12937 1
1.1%
12481 1
1.1%
11051 1
1.1%
10941 1
1.1%

69
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5789.728261
Minimum0
Maximum21594
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:48.293697image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11922.25
median3335
Q39504.25
95-th percentile16716.45
Maximum21594
Range21594
Interquartile range (IQR)7582

Descriptive statistics

Standard deviation5510.051212
Coefficient of variation (CV)0.9516942701
Kurtosis0.1113864341
Mean5789.728261
Median Absolute Deviation (MAD)3058.5
Skewness1.018704501
Sum532655
Variance30360664.35
MonotonicityNot monotonic
2022-12-08T10:51:48.418873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3062 1
 
1.1%
2019 1
 
1.1%
3447 1
 
1.1%
2231 1
 
1.1%
9606 1
 
1.1%
5439 1
 
1.1%
2155 1
 
1.1%
1425 1
 
1.1%
2787 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
11 1
 
1.1%
47 1
 
1.1%
51 1
 
1.1%
ValueCountFrequency (%)
21594 1
1.1%
18953 1
1.1%
18860 1
1.1%
18815 1
1.1%
18576 1
1.1%

70
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6686.434783
Minimum0
Maximum27396
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:48.555192image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.9
Q12303.75
median4017
Q310580.5
95-th percentile18449.7
Maximum27396
Range27396
Interquartile range (IQR)8276.75

Descriptive statistics

Standard deviation6364.272786
Coefficient of variation (CV)0.9518185689
Kurtosis0.8548393052
Mean6686.434783
Median Absolute Deviation (MAD)3466
Skewness1.165348003
Sum615152
Variance40503968.09
MonotonicityNot monotonic
2022-12-08T10:51:48.676380image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2467 1
 
1.1%
2871 1
 
1.1%
4114 1
 
1.1%
3154 1
 
1.1%
11376 1
 
1.1%
5980 1
 
1.1%
2297 1
 
1.1%
1855 1
 
1.1%
3434 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
18 1
 
1.1%
57 1
 
1.1%
58 1
 
1.1%
108 1
 
1.1%
ValueCountFrequency (%)
27396 1
1.1%
25734 1
1.1%
22369 1
1.1%
20826 1
1.1%
18497 1
1.1%

71
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5758.380435
Minimum0
Maximum20100
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:48.816511image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126
Q11718
median4370.5
Q38622.25
95-th percentile15600.1
Maximum20100
Range20100
Interquartile range (IQR)6904.25

Descriptive statistics

Standard deviation5142.390516
Coefficient of variation (CV)0.8930272277
Kurtosis-0.1174675847
Mean5758.380435
Median Absolute Deviation (MAD)3325.5
Skewness0.9053185704
Sum529771
Variance26444180.22
MonotonicityNot monotonic
2022-12-08T10:51:48.963144image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2574 1
 
1.1%
11287 1
 
1.1%
2566 1
 
1.1%
1785 1
 
1.1%
8597 1
 
1.1%
4712 1
 
1.1%
2230 1
 
1.1%
1186 1
 
1.1%
3027 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
104 1
 
1.1%
144 1
 
1.1%
258 1
 
1.1%
ValueCountFrequency (%)
20100 1
1.1%
18266 1
1.1%
17476 1
1.1%
17288 1
1.1%
16083 1
1.1%

72
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5723.826087
Minimum0
Maximum22063
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:49.101852image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.5
Q11611.25
median3865.5
Q39524
95-th percentile15256
Maximum22063
Range22063
Interquartile range (IQR)7912.75

Descriptive statistics

Standard deviation5348.586913
Coefficient of variation (CV)0.934442597
Kurtosis0.228941441
Mean5723.826087
Median Absolute Deviation (MAD)3505.5
Skewness0.9769652723
Sum526592
Variance28607381.97
MonotonicityNot monotonic
2022-12-08T10:51:49.235006image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2848 1
 
1.1%
1628 1
 
1.1%
3320 1
 
1.1%
1819 1
 
1.1%
9803 1
 
1.1%
4071 1
 
1.1%
2257 1
 
1.1%
1011 1
 
1.1%
2618 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
10 1
 
1.1%
78 1
 
1.1%
98 1
 
1.1%
100 1
 
1.1%
ValueCountFrequency (%)
22063 1
1.1%
20057 1
1.1%
19016 1
1.1%
16808 1
1.1%
16609 1
1.1%

73
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4889.945652
Minimum0
Maximum19522
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:49.388611image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11290.25
median3112.5
Q37508.25
95-th percentile13639.3
Maximum19522
Range19522
Interquartile range (IQR)6218

Descriptive statistics

Standard deviation4719.913974
Coefficient of variation (CV)0.9652283092
Kurtosis0.3786005319
Mean4889.945652
Median Absolute Deviation (MAD)2792.5
Skewness1.053342822
Sum449875
Variance22277587.92
MonotonicityNot monotonic
2022-12-08T10:51:49.529746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2843 2
 
2.2%
2090 1
 
1.1%
2293 1
 
1.1%
3800 1
 
1.1%
1525 1
 
1.1%
9892 1
 
1.1%
4871 1
 
1.1%
1509 1
 
1.1%
1267 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
7 1
 
1.1%
40 1
 
1.1%
47 1
 
1.1%
110 1
 
1.1%
ValueCountFrequency (%)
19522 1
1.1%
18683 1
1.1%
15051 1
1.1%
14466 1
1.1%
14428 1
1.1%

74
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4863.815217
Minimum0
Maximum19592
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:49.663413image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11232.75
median3037
Q37473.5
95-th percentile14033.15
Maximum19592
Range19592
Interquartile range (IQR)6240.75

Descriptive statistics

Standard deviation4691.75312
Coefficient of variation (CV)0.9646240472
Kurtosis0.3077541172
Mean4863.815217
Median Absolute Deviation (MAD)2665.5
Skewness1.041889021
Sum447471
Variance22012547.34
MonotonicityNot monotonic
2022-12-08T10:51:49.791584image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2157 1
 
1.1%
1638 1
 
1.1%
2819 1
 
1.1%
1067 1
 
1.1%
8456 1
 
1.1%
4695 1
 
1.1%
1291 1
 
1.1%
824 1
 
1.1%
3250 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
65 1
 
1.1%
120 1
 
1.1%
125 1
 
1.1%
ValueCountFrequency (%)
19592 1
1.1%
17590 1
1.1%
14885 1
1.1%
14496 1
1.1%
14422 1
1.1%

75
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4820.75
Minimum0
Maximum20053
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:49.942689image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11426
median3187.5
Q37429.25
95-th percentile12846.9
Maximum20053
Range20053
Interquartile range (IQR)6003.25

Descriptive statistics

Standard deviation4576.556846
Coefficient of variation (CV)0.9493454018
Kurtosis0.7636577071
Mean4820.75
Median Absolute Deviation (MAD)2857
Skewness1.111855463
Sum443509
Variance20944872.56
MonotonicityNot monotonic
2022-12-08T10:51:50.079943image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1 2
 
2.2%
2307 1
 
1.1%
7970 1
 
1.1%
2694 1
 
1.1%
4151 1
 
1.1%
1993 1
 
1.1%
9041 1
 
1.1%
3992 1
 
1.1%
1288 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 2
 
2.2%
3 1
 
1.1%
37 1
 
1.1%
83 1
 
1.1%
ValueCountFrequency (%)
20053 1
1.1%
17334 1
1.1%
17332 1
1.1%
13673 1
1.1%
13475 1
1.1%

76
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4902.173913
Minimum0
Maximum22167
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:50.221071image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11243
median3093
Q38095.75
95-th percentile12951.05
Maximum22167
Range22167
Interquartile range (IQR)6852.75

Descriptive statistics

Standard deviation4796.746449
Coefficient of variation (CV)0.9784937324
Kurtosis1.130199015
Mean4902.173913
Median Absolute Deviation (MAD)2710
Skewness1.201421224
Sum451000
Variance23008776.5
MonotonicityNot monotonic
2022-12-08T10:51:50.337846image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2791 1
 
1.1%
1750 1
 
1.1%
4546 1
 
1.1%
1563 1
 
1.1%
7033 1
 
1.1%
2895 1
 
1.1%
1168 1
 
1.1%
1204 1
 
1.1%
2640 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
5 1
 
1.1%
8 1
 
1.1%
47 1
 
1.1%
ValueCountFrequency (%)
22167 1
1.1%
18931 1
1.1%
16148 1
1.1%
13588 1
1.1%
13517 1
1.1%

77
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4445.543478
Minimum0
Maximum18600
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:50.460551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1998.25
median2684
Q37296.5
95-th percentile12230.2
Maximum18600
Range18600
Interquartile range (IQR)6298.25

Descriptive statistics

Standard deviation4406.491997
Coefficient of variation (CV)0.991215589
Kurtosis0.5993638905
Mean4445.543478
Median Absolute Deviation (MAD)2509
Skewness1.112983026
Sum408990
Variance19417171.72
MonotonicityNot monotonic
2022-12-08T10:51:50.602684image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1958 1
 
1.1%
1828 1
 
1.1%
3895 1
 
1.1%
1160 1
 
1.1%
7772 1
 
1.1%
3686 1
 
1.1%
1303 1
 
1.1%
918 1
 
1.1%
2897 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
16 1
 
1.1%
21 1
 
1.1%
25 1
 
1.1%
88 1
 
1.1%
ValueCountFrequency (%)
18600 1
1.1%
17279 1
1.1%
15285 1
1.1%
13133 1
1.1%
12338 1
1.1%

78
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5284
Minimum0
Maximum20620
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:50.751980image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11642.25
median3336
Q38510.25
95-th percentile15095.65
Maximum20620
Range20620
Interquartile range (IQR)6868

Descriptive statistics

Standard deviation5091.548121
Coefficient of variation (CV)0.9635783725
Kurtosis0.5386185624
Mean5284
Median Absolute Deviation (MAD)2986
Skewness1.095684966
Sum486128
Variance25923862.26
MonotonicityNot monotonic
2022-12-08T10:51:50.878159image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2244 1
 
1.1%
1924 1
 
1.1%
4376 1
 
1.1%
1991 1
 
1.1%
8991 1
 
1.1%
4416 1
 
1.1%
1904 1
 
1.1%
1185 1
 
1.1%
3038 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
12 1
 
1.1%
34 1
 
1.1%
118 1
 
1.1%
ValueCountFrequency (%)
20620 1
1.1%
19693 1
1.1%
19288 1
1.1%
15295 1
1.1%
15182 1
1.1%

79
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5471.836957
Minimum0
Maximum20358
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:51.007051image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.65
Q11625.5
median3935.5
Q39038
95-th percentile13951.1
Maximum20358
Range20358
Interquartile range (IQR)7412.5

Descriptive statistics

Standard deviation4834.623504
Coefficient of variation (CV)0.8835467033
Kurtosis-0.04188790008
Mean5471.836957
Median Absolute Deviation (MAD)3181.5
Skewness0.8533934661
Sum503409
Variance23373584.42
MonotonicityNot monotonic
2022-12-08T10:51:51.140212image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2815 1
 
1.1%
11919 1
 
1.1%
1293 1
 
1.1%
9997 1
 
1.1%
6752 1
 
1.1%
2418 1
 
1.1%
1163 1
 
1.1%
2975 1
 
1.1%
9742 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
4 1
1.1%
9 1
1.1%
52 1
1.1%
ValueCountFrequency (%)
20358 1
1.1%
17802 1
1.1%
15109 1
1.1%
14934 1
1.1%
14291 1
1.1%

80
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5993.217391
Minimum0
Maximum21750
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:51.278872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q11702.5
median4045
Q39811.75
95-th percentile15895.3
Maximum21750
Range21750
Interquartile range (IQR)8109.25

Descriptive statistics

Standard deviation5521.708274
Coefficient of variation (CV)0.9213262115
Kurtosis-0.0293996629
Mean5993.217391
Median Absolute Deviation (MAD)3471.5
Skewness0.9491304652
Sum551376
Variance30489262.26
MonotonicityNot monotonic
2022-12-08T10:51:51.402880image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3731 1
 
1.1%
2429 1
 
1.1%
3374 1
 
1.1%
1724 1
 
1.1%
10030 1
 
1.1%
4917 1
 
1.1%
2415 1
 
1.1%
1426 1
 
1.1%
3755 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
12 1
 
1.1%
17 1
 
1.1%
19 1
 
1.1%
133 1
 
1.1%
ValueCountFrequency (%)
21750 1
1.1%
20072 1
1.1%
19349 1
1.1%
17862 1
1.1%
16827 1
1.1%

81
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4768.717391
Minimum0
Maximum16665
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:51.529061image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.65
Q11444.25
median3321
Q37249
95-th percentile12913.25
Maximum16665
Range16665
Interquartile range (IQR)5804.75

Descriptive statistics

Standard deviation4377.407644
Coefficient of variation (CV)0.9179423489
Kurtosis-0.1534952571
Mean4768.717391
Median Absolute Deviation (MAD)2725.5
Skewness0.9238987794
Sum438722
Variance19161697.68
MonotonicityNot monotonic
2022-12-08T10:51:51.658751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2081 2
 
2.2%
2340 1
 
1.1%
2075 1
 
1.1%
2511 1
 
1.1%
1468 1
 
1.1%
6601 1
 
1.1%
4682 1
 
1.1%
1373 1
 
1.1%
1266 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
5 1
 
1.1%
28 1
 
1.1%
47 1
 
1.1%
50 1
 
1.1%
ValueCountFrequency (%)
16665 1
1.1%
15980 1
1.1%
14755 1
1.1%
14059 1
1.1%
13257 1
1.1%

82
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4328.304348
Minimum0
Maximum16203
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:51.798532image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q11241.25
median2842
Q36483
95-th percentile12633.95
Maximum16203
Range16203
Interquartile range (IQR)5241.75

Descriptive statistics

Standard deviation4143.506605
Coefficient of variation (CV)0.9573048177
Kurtosis0.4499293645
Mean4328.304348
Median Absolute Deviation (MAD)2626
Skewness1.075539943
Sum398204
Variance17168646.98
MonotonicityNot monotonic
2022-12-08T10:51:51.928697image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
1 2
 
2.2%
2161 1
 
1.1%
8907 1
 
1.1%
2792 1
 
1.1%
1717 1
 
1.1%
8115 1
 
1.1%
5045 1
 
1.1%
1524 1
 
1.1%
1086 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 2
2.2%
2 1
1.1%
7 1
1.1%
13 1
1.1%
ValueCountFrequency (%)
16203 1
1.1%
16183 1
1.1%
15515 1
1.1%
13012 1
1.1%
12981 1
1.1%

83
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5019.804348
Minimum0
Maximum19043
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:52.087304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11189.25
median3165.5
Q38481
95-th percentile14753.55
Maximum19043
Range19043
Interquartile range (IQR)7291.75

Descriptive statistics

Standard deviation4863.511534
Coefficient of variation (CV)0.9688647599
Kurtosis0.4742331986
Mean5019.804348
Median Absolute Deviation (MAD)2776
Skewness1.077821318
Sum461822
Variance23653744.44
MonotonicityNot monotonic
2022-12-08T10:51:52.216476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 2
 
2.2%
10363 1
 
1.1%
1702 1
 
1.1%
1759 1
 
1.1%
10729 1
 
1.1%
5449 1
 
1.1%
1532 1
 
1.1%
827 1
 
1.1%
2057 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
2 1
 
1.1%
10 1
 
1.1%
41 1
 
1.1%
ValueCountFrequency (%)
19043 1
1.1%
18290 1
1.1%
17562 1
1.1%
17224 1
1.1%
16810 1
1.1%

84
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4325.891304
Minimum0
Maximum15729
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:52.348749image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11143.25
median2993.5
Q36818
95-th percentile12168.9
Maximum15729
Range15729
Interquartile range (IQR)5674.75

Descriptive statistics

Standard deviation4039.878712
Coefficient of variation (CV)0.9338835463
Kurtosis-0.03406638914
Mean4325.891304
Median Absolute Deviation (MAD)2618
Skewness0.9279254938
Sum397982
Variance16320620.01
MonotonicityNot monotonic
2022-12-08T10:51:52.481911image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1 2
 
2.2%
2090 1
 
1.1%
6136 1
 
1.1%
3197 1
 
1.1%
2652 1
 
1.1%
1532 1
 
1.1%
8262 1
 
1.1%
3929 1
 
1.1%
1810 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 2
 
2.2%
4 1
 
1.1%
92 1
 
1.1%
98 1
 
1.1%
ValueCountFrequency (%)
15729 1
1.1%
15081 1
1.1%
13332 1
1.1%
12695 1
1.1%
12225 1
1.1%

85
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5757.108696
Minimum0
Maximum22476
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:52.628637image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.05
Q11601.25
median3458
Q39111
95-th percentile15970.3
Maximum22476
Range22476
Interquartile range (IQR)7509.75

Descriptive statistics

Standard deviation5524.024623
Coefficient of variation (CV)0.9595136925
Kurtosis0.1327901777
Mean5757.108696
Median Absolute Deviation (MAD)3087.5
Skewness1.012962079
Sum529654
Variance30514848.03
MonotonicityNot monotonic
2022-12-08T10:51:52.740853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2947 1
 
1.1%
13741 1
 
1.1%
3547 1
 
1.1%
1657 1
 
1.1%
9687 1
 
1.1%
4928 1
 
1.1%
1434 1
 
1.1%
1102 1
 
1.1%
2928 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
13 1
 
1.1%
21 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
22476 1
1.1%
20398 1
1.1%
18199 1
1.1%
17049 1
1.1%
16352 1
1.1%

86
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4189.413043
Minimum0
Maximum13902
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:52.865550image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11027.75
median2835
Q36861.75
95-th percentile11619.45
Maximum13902
Range13902
Interquartile range (IQR)5834

Descriptive statistics

Standard deviation3933.653077
Coefficient of variation (CV)0.9389508832
Kurtosis-0.3120913293
Mean4189.413043
Median Absolute Deviation (MAD)2578.5
Skewness0.8619758442
Sum385426
Variance15473626.53
MonotonicityNot monotonic
2022-12-08T10:51:52.997344image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1583 1
 
1.1%
1634 1
 
1.1%
2771 1
 
1.1%
1613 1
 
1.1%
7845 1
 
1.1%
3841 1
 
1.1%
1024 1
 
1.1%
917 1
 
1.1%
1901 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
7 1
 
1.1%
50 1
 
1.1%
ValueCountFrequency (%)
13902 1
1.1%
13854 1
1.1%
13560 1
1.1%
13097 1
1.1%
11884 1
1.1%

87
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4713.98913
Minimum0
Maximum20096
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:53.133492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11265
median3149
Q37981.5
95-th percentile12786.4
Maximum20096
Range20096
Interquartile range (IQR)6716.5

Descriptive statistics

Standard deviation4470.992169
Coefficient of variation (CV)0.9484519471
Kurtosis0.8830334214
Mean4713.98913
Median Absolute Deviation (MAD)2666
Skewness1.117246372
Sum433687
Variance19989770.98
MonotonicityNot monotonic
2022-12-08T10:51:53.257187image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2724 1
 
1.1%
2743 1
 
1.1%
3260 1
 
1.1%
1627 1
 
1.1%
8717 1
 
1.1%
3920 1
 
1.1%
1335 1
 
1.1%
1025 1
 
1.1%
3782 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
12 1
 
1.1%
25 1
 
1.1%
52 1
 
1.1%
98 1
 
1.1%
ValueCountFrequency (%)
20096 1
1.1%
17689 1
1.1%
15214 1
1.1%
13711 1
1.1%
13167 1
1.1%

88
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4448.913043
Minimum0
Maximum16893
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:53.396066image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11205.5
median2817.5
Q37175
95-th percentile12261.85
Maximum16893
Range16893
Interquartile range (IQR)5969.5

Descriptive statistics

Standard deviation4252.48853
Coefficient of variation (CV)0.9558488755
Kurtosis0.1231544353
Mean4448.913043
Median Absolute Deviation (MAD)2524
Skewness0.9837563505
Sum409300
Variance18083658.7
MonotonicityNot monotonic
2022-12-08T10:51:53.529222image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
7138 2
 
2.2%
9638 1
 
1.1%
1249 1
 
1.1%
8466 1
 
1.1%
3998 1
 
1.1%
1247 1
 
1.1%
913 1
 
1.1%
2522 1
 
1.1%
6709 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
9 1
 
1.1%
11 1
 
1.1%
38 1
 
1.1%
ValueCountFrequency (%)
16893 1
1.1%
16150 1
1.1%
15072 1
1.1%
12321 1
1.1%
12280 1
1.1%

89
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5742.336957
Minimum0
Maximum25449
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:53.652922image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11419.25
median3165.5
Q310129.75
95-th percentile15774
Maximum25449
Range25449
Interquartile range (IQR)8710.5

Descriptive statistics

Standard deviation5850.747318
Coefficient of variation (CV)1.018879136
Kurtosis0.7361457294
Mean5742.336957
Median Absolute Deviation (MAD)2875
Skewness1.167597224
Sum528295
Variance34231244.18
MonotonicityNot monotonic
2022-12-08T10:51:53.791066image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3227 1
 
1.1%
2432 1
 
1.1%
3067 1
 
1.1%
2292 1
 
1.1%
10748 1
 
1.1%
3920 1
 
1.1%
1957 1
 
1.1%
1425 1
 
1.1%
3470 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
10 1
 
1.1%
20 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
25449 1
1.1%
21336 1
1.1%
21189 1
1.1%
18085 1
1.1%
16489 1
1.1%

90
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5083.173913
Minimum0
Maximum20376
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:53.932245image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11424.5
median3378
Q38027.75
95-th percentile13238.65
Maximum20376
Range20376
Interquartile range (IQR)6603.25

Descriptive statistics

Standard deviation4801.703831
Coefficient of variation (CV)0.9446270998
Kurtosis0.4362629476
Mean5083.173913
Median Absolute Deviation (MAD)2998
Skewness1.037457331
Sum467652
Variance23056359.68
MonotonicityNot monotonic
2022-12-08T10:51:54.069906image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
4610 2
 
2.2%
1839 2
 
2.2%
11146 1
 
1.1%
8048 1
 
1.1%
4349 1
 
1.1%
1797 1
 
1.1%
1032 1
 
1.1%
3204 1
 
1.1%
7083 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
29 1
 
1.1%
77 1
 
1.1%
145 1
 
1.1%
ValueCountFrequency (%)
20376 1
1.1%
18578 1
1.1%
16787 1
1.1%
13927 1
1.1%
13248 1
1.1%

91
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5789
Minimum0
Maximum26184
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:54.215033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.1
Q11686.25
median3504.5
Q38659
95-th percentile15199.25
Maximum26184
Range26184
Interquartile range (IQR)6972.75

Descriptive statistics

Standard deviation5798.93089
Coefficient of variation (CV)1.001715476
Kurtosis1.687446173
Mean5789
Median Absolute Deviation (MAD)3041
Skewness1.353209509
Sum532588
Variance33627599.47
MonotonicityNot monotonic
2022-12-08T10:51:54.348730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3323 1
 
1.1%
12762 1
 
1.1%
2721 1
 
1.1%
1774 1
 
1.1%
9130 1
 
1.1%
4637 1
 
1.1%
1714 1
 
1.1%
1065 1
 
1.1%
2939 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
43 1
 
1.1%
62 1
 
1.1%
158 1
 
1.1%
ValueCountFrequency (%)
26184 1
1.1%
24723 1
1.1%
21872 1
1.1%
16692 1
1.1%
15554 1
1.1%

92
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4137
Minimum0
Maximum15701
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:54.484975image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.75
Q11264.25
median2631
Q36877.75
95-th percentile11044.55
Maximum15701
Range15701
Interquartile range (IQR)5613.5

Descriptive statistics

Standard deviation3791.090075
Coefficient of variation (CV)0.9163862884
Kurtosis-0.01099907977
Mean4137
Median Absolute Deviation (MAD)2363
Skewness0.9158347372
Sum380604
Variance14372363.96
MonotonicityNot monotonic
2022-12-08T10:51:54.623117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1482 1
 
1.1%
8166 1
 
1.1%
2533 1
 
1.1%
1399 1
 
1.1%
6934 1
 
1.1%
4098 1
 
1.1%
1276 1
 
1.1%
1229 1
 
1.1%
2202 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
27 1
 
1.1%
55 1
 
1.1%
67 1
 
1.1%
ValueCountFrequency (%)
15701 1
1.1%
13840 1
1.1%
12271 1
1.1%
11441 1
1.1%
11341 1
1.1%

93
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4022.347826
Minimum0
Maximum15278
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:54.775355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11037.25
median2516.5
Q36174.75
95-th percentile10870.75
Maximum15278
Range15278
Interquartile range (IQR)5137.5

Descriptive statistics

Standard deviation3864.135729
Coefficient of variation (CV)0.960666729
Kurtosis0.3390460809
Mean4022.347826
Median Absolute Deviation (MAD)2280
Skewness1.051472108
Sum370056
Variance14931544.93
MonotonicityNot monotonic
2022-12-08T10:51:54.918485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1779 1
 
1.1%
1265 1
 
1.1%
1933 1
 
1.1%
762 1
 
1.1%
6017 1
 
1.1%
3209 1
 
1.1%
1397 1
 
1.1%
500 1
 
1.1%
2310 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
8 1
 
1.1%
11 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
15278 1
1.1%
14900 1
1.1%
14564 1
1.1%
11170 1
1.1%
11132 1
1.1%

94
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4303
Minimum0
Maximum15261
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:55.054147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4
Q11150
median2748
Q37032.75
95-th percentile11419.55
Maximum15261
Range15261
Interquartile range (IQR)5882.75

Descriptive statistics

Standard deviation3980.595695
Coefficient of variation (CV)0.9250745283
Kurtosis0.08080685963
Mean4303
Median Absolute Deviation (MAD)2230.5
Skewness0.9784789514
Sum395876
Variance15845142.09
MonotonicityNot monotonic
2022-12-08T10:51:55.192296image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1926 1
 
1.1%
8445 1
 
1.1%
1635 1
 
1.1%
1193 1
 
1.1%
7641 1
 
1.1%
3508 1
 
1.1%
1093 1
 
1.1%
721 1
 
1.1%
2065 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
10 1
 
1.1%
46 1
 
1.1%
238 1
 
1.1%
ValueCountFrequency (%)
15261 1
1.1%
15117 1
1.1%
15055 1
1.1%
11594 1
1.1%
11496 1
1.1%

95
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5034.956522
Minimum0
Maximum18991
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:55.338423image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q11387.5
median3181
Q37974.5
95-th percentile12838.4
Maximum18991
Range18991
Interquartile range (IQR)6587

Descriptive statistics

Standard deviation4696.578392
Coefficient of variation (CV)0.93279423
Kurtosis0.3948867664
Mean5034.956522
Median Absolute Deviation (MAD)2841.5
Skewness1.016572353
Sum463216
Variance22057848.59
MonotonicityNot monotonic
2022-12-08T10:51:55.472097image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
3148 2
 
2.2%
2278 1
 
1.1%
1685 1
 
1.1%
4388 1
 
1.1%
2148 1
 
1.1%
7585 1
 
1.1%
4346 1
 
1.1%
1350 1
 
1.1%
898 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
4 1
 
1.1%
24 1
 
1.1%
ValueCountFrequency (%)
18991 1
1.1%
18935 1
1.1%
17416 1
1.1%
13094 1
1.1%
12988 1
1.1%

96
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5592.054348
Minimum0
Maximum23454
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:55.597836image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.35
Q11705
median3586.5
Q39254.5
95-th percentile15384.4
Maximum23454
Range23454
Interquartile range (IQR)7549.5

Descriptive statistics

Standard deviation5341.16361
Coefficient of variation (CV)0.9551344243
Kurtosis0.8079571975
Mean5592.054348
Median Absolute Deviation (MAD)3235.5
Skewness1.125875509
Sum514469
Variance28528028.71
MonotonicityNot monotonic
2022-12-08T10:51:55.739961image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2513 1
 
1.1%
10518 1
 
1.1%
3420 1
 
1.1%
2235 1
 
1.1%
9219 1
 
1.1%
4347 1
 
1.1%
1709 1
 
1.1%
1364 1
 
1.1%
3452 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
5 1
 
1.1%
22 1
 
1.1%
42 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
23454 1
1.1%
20434 1
1.1%
19798 1
1.1%
16518 1
1.1%
15688 1
1.1%

97
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5806.173913
Minimum0
Maximum23822
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:55.866267image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.95
Q11542.75
median3590
Q39116.5
95-th percentile15627.4
Maximum23822
Range23822
Interquartile range (IQR)7573.75

Descriptive statistics

Standard deviation5478.786674
Coefficient of variation (CV)0.9436139455
Kurtosis0.5069710387
Mean5806.173913
Median Absolute Deviation (MAD)3091.5
Skewness1.062068204
Sum534168
Variance30017103.42
MonotonicityNot monotonic
2022-12-08T10:51:56.002413image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2514 1
 
1.1%
10745 1
 
1.1%
3659 1
 
1.1%
1633 1
 
1.1%
10500 1
 
1.1%
4840 1
 
1.1%
2322 1
 
1.1%
1024 1
 
1.1%
2371 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
8 1
 
1.1%
17 1
 
1.1%
19 1
 
1.1%
27 1
 
1.1%
ValueCountFrequency (%)
23822 1
1.1%
20047 1
1.1%
19248 1
1.1%
17580 1
1.1%
15755 1
1.1%

98
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4722.076087
Minimum0
Maximum19392
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:56.134577image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11458.75
median2767
Q37676
95-th percentile12790.3
Maximum19392
Range19392
Interquartile range (IQR)6217.25

Descriptive statistics

Standard deviation4571.603538
Coefficient of variation (CV)0.9681342387
Kurtosis0.593601586
Mean4722.076087
Median Absolute Deviation (MAD)2564
Skewness1.102883122
Sum434431
Variance20899558.91
MonotonicityNot monotonic
2022-12-08T10:51:56.265245image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
383 2
 
2.2%
2097 1
 
1.1%
10147 1
 
1.1%
1567 1
 
1.1%
7770 1
 
1.1%
4070 1
 
1.1%
1472 1
 
1.1%
982 1
 
1.1%
2374 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
5 1
 
1.1%
30 1
 
1.1%
ValueCountFrequency (%)
19392 1
1.1%
17865 1
1.1%
16207 1
1.1%
13256 1
1.1%
13227 1
1.1%

99
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4487.815217
Minimum0
Maximum17364
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:56.395322image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11176.75
median3093.5
Q37789
95-th percentile11341.9
Maximum17364
Range17364
Interquartile range (IQR)6612.25

Descriptive statistics

Standard deviation4196.032362
Coefficient of variation (CV)0.9349833178
Kurtosis0.415318863
Mean4487.815217
Median Absolute Deviation (MAD)2526
Skewness1.014843751
Sum412879
Variance17606687.58
MonotonicityNot monotonic
2022-12-08T10:51:56.521497image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1988 1
 
1.1%
994 1
 
1.1%
2479 1
 
1.1%
1475 1
 
1.1%
8510 1
 
1.1%
3895 1
 
1.1%
1458 1
 
1.1%
702 1
 
1.1%
2530 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
74 1
 
1.1%
135 1
 
1.1%
139 1
 
1.1%
141 1
 
1.1%
ValueCountFrequency (%)
17364 1
1.1%
16996 1
1.1%
15076 1
1.1%
11653 1
1.1%
11552 1
1.1%

100
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5079.086957
Minimum0
Maximum21595
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:56.660802image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11742.25
median3346.5
Q38631.25
95-th percentile13323.75
Maximum21595
Range21595
Interquartile range (IQR)6889

Descriptive statistics

Standard deviation4819.82453
Coefficient of variation (CV)0.9489549147
Kurtosis0.8848606222
Mean5079.086957
Median Absolute Deviation (MAD)2878.5
Skewness1.155937164
Sum467276
Variance23230708.5
MonotonicityNot monotonic
2022-12-08T10:51:56.784982image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2371 1
 
1.1%
2618 1
 
1.1%
3524 1
 
1.1%
1922 1
 
1.1%
9053 1
 
1.1%
3478 1
 
1.1%
1811 1
 
1.1%
1283 1
 
1.1%
3585 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
18 1
 
1.1%
73 1
 
1.1%
156 1
 
1.1%
ValueCountFrequency (%)
21595 1
1.1%
18407 1
1.1%
16633 1
1.1%
16549 1
1.1%
13959 1
1.1%

101
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5664.804348
Minimum0
Maximum21878
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:56.941075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11682
median3722.5
Q39493.25
95-th percentile14935.9
Maximum21878
Range21878
Interquartile range (IQR)7811.25

Descriptive statistics

Standard deviation5262.380866
Coefficient of variation (CV)0.9289607448
Kurtosis0.2811709404
Mean5664.804348
Median Absolute Deviation (MAD)3105
Skewness0.998710329
Sum521162
Variance27692652.38
MonotonicityNot monotonic
2022-12-08T10:51:57.063773image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3350 1
 
1.1%
1989 1
 
1.1%
4165 1
 
1.1%
1919 1
 
1.1%
10549 1
 
1.1%
4028 1
 
1.1%
2317 1
 
1.1%
1237 1
 
1.1%
3598 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
30 1
 
1.1%
35 1
 
1.1%
62 1
 
1.1%
149 1
 
1.1%
ValueCountFrequency (%)
21878 1
1.1%
19752 1
1.1%
18935 1
1.1%
16548 1
1.1%
15509 1
1.1%

102
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5711.619565
Minimum0
Maximum26007
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:57.188678image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.2
Q11193.5
median3657.5
Q39110.25
95-th percentile15744.15
Maximum26007
Range26007
Interquartile range (IQR)7916.75

Descriptive statistics

Standard deviation5610.965185
Coefficient of variation (CV)0.9823772611
Kurtosis1.05687182
Mean5711.619565
Median Absolute Deviation (MAD)3402.5
Skewness1.164093267
Sum525469
Variance31482930.3
MonotonicityNot monotonic
2022-12-08T10:51:57.318839image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2 2
 
2.2%
2911 1
 
1.1%
2484 1
 
1.1%
4224 1
 
1.1%
1714 1
 
1.1%
10231 1
 
1.1%
5281 1
 
1.1%
1875 1
 
1.1%
1052 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
2 2
2.2%
6 1
1.1%
29 1
1.1%
ValueCountFrequency (%)
26007 1
1.1%
21073 1
1.1%
18231 1
1.1%
17501 1
1.1%
16111 1
1.1%

103
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5290.98913
Minimum0
Maximum19774
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:57.468459image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.65
Q11483.25
median3278.5
Q38531.25
95-th percentile14899.2
Maximum19774
Range19774
Interquartile range (IQR)7048

Descriptive statistics

Standard deviation5146.737557
Coefficient of variation (CV)0.9727363694
Kurtosis0.2378801444
Mean5290.98913
Median Absolute Deviation (MAD)2798
Skewness1.056806262
Sum486771
Variance26488907.48
MonotonicityNot monotonic
2022-12-08T10:51:57.598623image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2709 1
 
1.1%
12605 1
 
1.1%
2737 1
 
1.1%
1491 1
 
1.1%
8402 1
 
1.1%
3844 1
 
1.1%
1460 1
 
1.1%
987 1
 
1.1%
3394 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
9 1
 
1.1%
12 1
 
1.1%
23 1
 
1.1%
45 1
 
1.1%
ValueCountFrequency (%)
19774 1
1.1%
19628 1
1.1%
18818 1
1.1%
16112 1
1.1%
14941 1
1.1%

104
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5620.565217
Minimum0
Maximum26758
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:57.749353image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56.25
Q11662.25
median3299
Q38870.25
95-th percentile15048.9
Maximum26758
Range26758
Interquartile range (IQR)7208

Descriptive statistics

Standard deviation5538.931178
Coefficient of variation (CV)0.985475831
Kurtosis1.75561093
Mean5620.565217
Median Absolute Deviation (MAD)3007
Skewness1.31535511
Sum517092
Variance30679758.6
MonotonicityNot monotonic
2022-12-08T10:51:57.884009image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
1 2
 
2.2%
3099 2
 
2.2%
2912 1
 
1.1%
9570 1
 
1.1%
3067 1
 
1.1%
2732 1
 
1.1%
1926 1
 
1.1%
9878 1
 
1.1%
5406 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 2
2.2%
1 2
2.2%
48 1
1.1%
63 1
1.1%
90 1
1.1%
ValueCountFrequency (%)
26758 1
1.1%
21900 1
1.1%
19429 1
1.1%
16916 1
1.1%
15776 1
1.1%

105
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4592.619565
Minimum0
Maximum17908
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:58.016169image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.4
Q11345.5
median3507.5
Q37615.25
95-th percentile11670.1
Maximum17908
Range17908
Interquartile range (IQR)6269.75

Descriptive statistics

Standard deviation4057.168378
Coefficient of variation (CV)0.8834105069
Kurtosis0.202064442
Mean4592.619565
Median Absolute Deviation (MAD)2820.5
Skewness0.925427019
Sum422521
Variance16460615.25
MonotonicityNot monotonic
2022-12-08T10:51:58.149087image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2136 1
 
1.1%
10371 1
 
1.1%
2479 1
 
1.1%
2078 1
 
1.1%
7634 1
 
1.1%
4496 1
 
1.1%
1256 1
 
1.1%
1051 1
 
1.1%
2482 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
22 1
 
1.1%
30 1
 
1.1%
62 1
 
1.1%
ValueCountFrequency (%)
17908 1
1.1%
14696 1
1.1%
12270 1
1.1%
12194 1
1.1%
11735 1
1.1%

106
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5486.065217
Minimum0
Maximum21377
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:58.284741image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q11659.25
median3396
Q38807.25
95-th percentile14417.1
Maximum21377
Range21377
Interquartile range (IQR)7148

Descriptive statistics

Standard deviation5141.479277
Coefficient of variation (CV)0.9371888728
Kurtosis0.2004043406
Mean5486.065217
Median Absolute Deviation (MAD)2823
Skewness1.011964032
Sum504718
Variance26434809.16
MonotonicityNot monotonic
2022-12-08T10:51:58.422883image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
17 2
 
2.2%
2762 1
 
1.1%
3176 1
 
1.1%
2469 1
 
1.1%
1671 1
 
1.1%
10441 1
 
1.1%
4021 1
 
1.1%
1926 1
 
1.1%
1624 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
17 2
2.2%
25 1
 
1.1%
109 1
 
1.1%
234 1
 
1.1%
ValueCountFrequency (%)
21377 1
1.1%
19323 1
1.1%
17851 1
1.1%
15467 1
1.1%
14526 1
1.1%

107
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5735.815217
Minimum0
Maximum22819
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:58.544080image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11646.75
median3417.5
Q39334.5
95-th percentile15046.55
Maximum22819
Range22819
Interquartile range (IQR)7687.75

Descriptive statistics

Standard deviation5514.210959
Coefficient of variation (CV)0.9613648192
Kurtosis0.3344748792
Mean5735.815217
Median Absolute Deviation (MAD)3032.5
Skewness1.053017897
Sum527695
Variance30406522.5
MonotonicityNot monotonic
2022-12-08T10:51:58.670361image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3749 1
 
1.1%
1653 1
 
1.1%
4185 1
 
1.1%
1628 1
 
1.1%
9308 1
 
1.1%
4338 1
 
1.1%
2208 1
 
1.1%
1041 1
 
1.1%
2198 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
43 1
 
1.1%
181 1
 
1.1%
284 1
 
1.1%
ValueCountFrequency (%)
22819 1
1.1%
21624 1
1.1%
18381 1
1.1%
16574 1
1.1%
15211 1
1.1%

108
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4757.869565
Minimum0
Maximum19133
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:58.810503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q11180.75
median2939.5
Q37491.25
95-th percentile13421.55
Maximum19133
Range19133
Interquartile range (IQR)6310.5

Descriptive statistics

Standard deviation4633.682385
Coefficient of variation (CV)0.973898574
Kurtosis0.7304086176
Mean4757.869565
Median Absolute Deviation (MAD)2506
Skewness1.157988203
Sum437724
Variance21471012.44
MonotonicityNot monotonic
2022-12-08T10:51:58.938681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1783 1
 
1.1%
1435 1
 
1.1%
2728 1
 
1.1%
1612 1
 
1.1%
7262 1
 
1.1%
4394 1
 
1.1%
1185 1
 
1.1%
887 1
 
1.1%
2948 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
6 1
 
1.1%
22 1
 
1.1%
45 1
 
1.1%
58 1
 
1.1%
ValueCountFrequency (%)
19133 1
1.1%
18030 1
1.1%
17870 1
1.1%
13469 1
1.1%
13454 1
1.1%

109
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4690.130435
Minimum0
Maximum15815
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:59.073142image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q11355
median3193.5
Q37531
95-th percentile12664.15
Maximum15815
Range15815
Interquartile range (IQR)6176

Descriptive statistics

Standard deviation4206.998589
Coefficient of variation (CV)0.8969896781
Kurtosis-0.2212211122
Mean4690.130435
Median Absolute Deviation (MAD)2824.5
Skewness0.8550025989
Sum431492
Variance17698837.13
MonotonicityNot monotonic
2022-12-08T10:51:59.205303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2 2
 
2.2%
1634 1
 
1.1%
2680 1
 
1.1%
2785 1
 
1.1%
1356 1
 
1.1%
8197 1
 
1.1%
4426 1
 
1.1%
1176 1
 
1.1%
1077 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 2
2.2%
7 1
 
1.1%
22 1
 
1.1%
41 1
 
1.1%
ValueCountFrequency (%)
15815 1
1.1%
14992 1
1.1%
14657 1
1.1%
13804 1
1.1%
12987 1
1.1%

110
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5100.706522
Minimum0
Maximum22408
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:59.351117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.85
Q1822.75
median3639.5
Q38536.25
95-th percentile14947.4
Maximum22408
Range22408
Interquartile range (IQR)7713.5

Descriptive statistics

Standard deviation5037.73325
Coefficient of variation (CV)0.98765401
Kurtosis0.7849149866
Mean5100.706522
Median Absolute Deviation (MAD)3089.5
Skewness1.151458113
Sum469265
Variance25378756.3
MonotonicityNot monotonic
2022-12-08T10:51:59.499752image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
2386 1
 
1.1%
553 1
 
1.1%
1470 1
 
1.1%
1867 1
 
1.1%
11053 1
 
1.1%
4708 1
 
1.1%
2095 1
 
1.1%
610 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
8 1
 
1.1%
40 1
 
1.1%
62 1
 
1.1%
ValueCountFrequency (%)
22408 1
1.1%
18099 1
1.1%
16329 1
1.1%
16163 1
1.1%
15163 1
1.1%

111
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4063.271739
Minimum0
Maximum14290
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:59.642889image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q1876.25
median2552.5
Q36319.75
95-th percentile11331.45
Maximum14290
Range14290
Interquartile range (IQR)5443.5

Descriptive statistics

Standard deviation3810.078021
Coefficient of variation (CV)0.9376872299
Kurtosis-0.2527962912
Mean4063.271739
Median Absolute Deviation (MAD)2255.5
Skewness0.8804908076
Sum373821
Variance14516694.53
MonotonicityNot monotonic
2022-12-08T10:51:59.792156image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
7 2
 
2.2%
1532 2
 
2.2%
2033 1
 
1.1%
1910 1
 
1.1%
1687 1
 
1.1%
2470 1
 
1.1%
1596 1
 
1.1%
8016 1
 
1.1%
3202 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
7 2
2.2%
8 1
 
1.1%
80 1
 
1.1%
ValueCountFrequency (%)
14290 1
1.1%
13836 1
1.1%
12896 1
1.1%
11435 1
1.1%
11343 1
1.1%

112
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4246.782609
Minimum0
Maximum16948
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:51:59.938308image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.85
Q11545.75
median2993
Q37079.5
95-th percentile10835
Maximum16948
Range16948
Interquartile range (IQR)5533.75

Descriptive statistics

Standard deviation3880.830674
Coefficient of variation (CV)0.9138284277
Kurtosis0.7304134361
Mean4246.782609
Median Absolute Deviation (MAD)2411.5
Skewness1.084533458
Sum390704
Variance15060846.72
MonotonicityNot monotonic
2022-12-08T10:52:00.061496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
163 2
 
2.2%
3033 2
 
2.2%
1557 1
 
1.1%
3152 1
 
1.1%
1798 1
 
1.1%
7067 1
 
1.1%
3843 1
 
1.1%
1721 1
 
1.1%
1077 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
7 1
 
1.1%
39 1
 
1.1%
153 1
 
1.1%
163 2
 
2.2%
ValueCountFrequency (%)
16948 1
1.1%
15526 1
1.1%
14142 1
1.1%
12206 1
1.1%
11330 1
1.1%

113
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4708.358696
Minimum0
Maximum16779
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:00.197160image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.55
Q11565.5
median3245.5
Q37724.5
95-th percentile12794.9
Maximum16779
Range16779
Interquartile range (IQR)6159

Descriptive statistics

Standard deviation4242.351581
Coefficient of variation (CV)0.9010255707
Kurtosis0.03701731486
Mean4708.358696
Median Absolute Deviation (MAD)2724
Skewness0.9404181928
Sum433169
Variance17997546.94
MonotonicityNot monotonic
2022-12-08T10:52:00.330322image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1293 2
 
2.2%
1863 1
 
1.1%
10570 1
 
1.1%
3454 1
 
1.1%
1933 1
 
1.1%
8948 1
 
1.1%
3586 1
 
1.1%
1155 1
 
1.1%
3668 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
3 1
 
1.1%
7 1
 
1.1%
18 1
 
1.1%
ValueCountFrequency (%)
16779 1
1.1%
15914 1
1.1%
14841 1
1.1%
13994 1
1.1%
13181 1
1.1%

114
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4235.673913
Minimum0
Maximum17280
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:00.476955image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q1899.25
median2757
Q37209.5
95-th percentile11428.1
Maximum17280
Range17280
Interquartile range (IQR)6310.25

Descriptive statistics

Standard deviation4043.706294
Coefficient of variation (CV)0.9546783764
Kurtosis0.2845695061
Mean4235.673913
Median Absolute Deviation (MAD)2520.5
Skewness0.9979874069
Sum389682
Variance16351560.6
MonotonicityNot monotonic
2022-12-08T10:52:00.610761image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1773 1
 
1.1%
907 1
 
1.1%
1867 1
 
1.1%
1286 1
 
1.1%
7668 1
 
1.1%
3146 1
 
1.1%
1501 1
 
1.1%
809 1
 
1.1%
1495 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
21 1
 
1.1%
28 1
 
1.1%
68 1
 
1.1%
ValueCountFrequency (%)
17280 1
1.1%
14520 1
1.1%
14111 1
1.1%
11570 1
1.1%
11493 1
1.1%

115
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4912.358696
Minimum0
Maximum17267
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:00.758884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.75
Q11605
median3369
Q37965.5
95-th percentile13034.3
Maximum17267
Range17267
Interquartile range (IQR)6360.5

Descriptive statistics

Standard deviation4398.761568
Coefficient of variation (CV)0.895447959
Kurtosis0.07889332132
Mean4912.358696
Median Absolute Deviation (MAD)2818.5
Skewness0.9329238691
Sum451937
Variance19349103.33
MonotonicityNot monotonic
2022-12-08T10:52:00.893550image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2304 1
 
1.1%
9398 1
 
1.1%
3588 1
 
1.1%
1643 1
 
1.1%
8490 1
 
1.1%
6018 1
 
1.1%
1428 1
 
1.1%
1043 1
 
1.1%
2151 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
26 1
 
1.1%
53 1
 
1.1%
58 1
 
1.1%
ValueCountFrequency (%)
17267 1
1.1%
16646 1
1.1%
16103 1
1.1%
13906 1
1.1%
13075 1
1.1%

116
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5232.673913
Minimum0
Maximum20375
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:01.033339image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11698.75
median3354.5
Q38204.5
95-th percentile14212.35
Maximum20375
Range20375
Interquartile range (IQR)6505.75

Descriptive statistics

Standard deviation4831.46828
Coefficient of variation (CV)0.9233268421
Kurtosis0.1577415755
Mean5232.673913
Median Absolute Deviation (MAD)2828.5
Skewness0.9876177799
Sum481406
Variance23343085.74
MonotonicityNot monotonic
2022-12-08T10:52:01.170999image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2767 1
 
1.1%
3026 1
 
1.1%
4019 1
 
1.1%
2153 1
 
1.1%
9784 1
 
1.1%
4794 1
 
1.1%
1672 1
 
1.1%
1615 1
 
1.1%
4576 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
69 1
 
1.1%
154 1
 
1.1%
204 1
 
1.1%
ValueCountFrequency (%)
20375 1
1.1%
17452 1
1.1%
15797 1
1.1%
14807 1
1.1%
14467 1
1.1%

117
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4420.206522
Minimum0
Maximum18164
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:01.308728image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11182.75
median2739
Q37189.25
95-th percentile12266.9
Maximum18164
Range18164
Interquartile range (IQR)6006.5

Descriptive statistics

Standard deviation4314.570518
Coefficient of variation (CV)0.9761015684
Kurtosis0.3160726221
Mean4420.206522
Median Absolute Deviation (MAD)2470.5
Skewness1.054456188
Sum406659
Variance18615518.76
MonotonicityNot monotonic
2022-12-08T10:52:01.450859image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2276 1
 
1.1%
1710 1
 
1.1%
2826 1
 
1.1%
1758 1
 
1.1%
8299 1
 
1.1%
3646 1
 
1.1%
1213 1
 
1.1%
911 1
 
1.1%
2772 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
28 1
 
1.1%
30 1
 
1.1%
34 1
 
1.1%
ValueCountFrequency (%)
18164 1
1.1%
15557 1
1.1%
14312 1
1.1%
14033 1
1.1%
12697 1
1.1%

118
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5058.73913
Minimum0
Maximum20182
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:01.585525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11681.75
median3348.5
Q38900.25
95-th percentile13552.45
Maximum20182
Range20182
Interquartile range (IQR)7218.5

Descriptive statistics

Standard deviation4726.072725
Coefficient of variation (CV)0.9342392646
Kurtosis0.2487763854
Mean5058.73913
Median Absolute Deviation (MAD)2815.5
Skewness1.005883492
Sum465404
Variance22335763.4
MonotonicityNot monotonic
2022-12-08T10:52:01.720672image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2181 1
 
1.1%
2413 1
 
1.1%
3083 1
 
1.1%
1933 1
 
1.1%
9691 1
 
1.1%
4205 1
 
1.1%
1395 1
 
1.1%
1164 1
 
1.1%
3723 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
4 1
 
1.1%
9 1
 
1.1%
53 1
 
1.1%
130 1
 
1.1%
ValueCountFrequency (%)
20182 1
1.1%
17359 1
1.1%
15890 1
1.1%
14658 1
1.1%
14169 1
1.1%

119
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4919.826087
Minimum0
Maximum18376
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:01.860806image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11702
median3037.5
Q37795.75
95-th percentile13718.15
Maximum18376
Range18376
Interquartile range (IQR)6093.75

Descriptive statistics

Standard deviation4625.746846
Coefficient of variation (CV)0.9402256836
Kurtosis0.1674168585
Mean4919.826087
Median Absolute Deviation (MAD)2655.5
Skewness1.026950771
Sum452624
Variance21397533.88
MonotonicityNot monotonic
2022-12-08T10:52:01.981157image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2310 1
 
1.1%
2520 1
 
1.1%
3275 1
 
1.1%
1952 1
 
1.1%
8581 1
 
1.1%
3118 1
 
1.1%
1606 1
 
1.1%
1285 1
 
1.1%
3985 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
37 1
 
1.1%
41 1
 
1.1%
163 1
 
1.1%
ValueCountFrequency (%)
18376 1
1.1%
17620 1
1.1%
15522 1
1.1%
14532 1
1.1%
14008 1
1.1%

120
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5226.184783
Minimum0
Maximum20017
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:02.130265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11696.75
median3451
Q38358.5
95-th percentile14305
Maximum20017
Range20017
Interquartile range (IQR)6661.75

Descriptive statistics

Standard deviation4848.685899
Coefficient of variation (CV)0.9277677886
Kurtosis0.2989664965
Mean5226.184783
Median Absolute Deviation (MAD)3080
Skewness1.010012769
Sum480809
Variance23509754.94
MonotonicityNot monotonic
2022-12-08T10:52:02.267411image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2650 1
 
1.1%
2063 1
 
1.1%
4184 1
 
1.1%
2005 1
 
1.1%
9909 1
 
1.1%
3454 1
 
1.1%
2462 1
 
1.1%
1106 1
 
1.1%
2786 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
17 1
 
1.1%
89 1
 
1.1%
149 1
 
1.1%
ValueCountFrequency (%)
20017 1
1.1%
18293 1
1.1%
17451 1
1.1%
14809 1
1.1%
14624 1
1.1%

121
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4843.054348
Minimum0
Maximum19751
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:02.403692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11279
median3128.5
Q37731.5
95-th percentile13162.4
Maximum19751
Range19751
Interquartile range (IQR)6452.5

Descriptive statistics

Standard deviation4599.864428
Coefficient of variation (CV)0.9497858371
Kurtosis0.1041243143
Mean4843.054348
Median Absolute Deviation (MAD)2665.5
Skewness0.974029817
Sum445561
Variance21158752.76
MonotonicityNot monotonic
2022-12-08T10:52:02.537843image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2387 1
 
1.1%
2284 1
 
1.1%
3569 1
 
1.1%
1589 1
 
1.1%
8572 1
 
1.1%
4503 1
 
1.1%
1977 1
 
1.1%
1214 1
 
1.1%
3190 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
6 1
 
1.1%
41 1
 
1.1%
56 1
 
1.1%
ValueCountFrequency (%)
19751 1
1.1%
15050 1
1.1%
14982 1
1.1%
13895 1
1.1%
13884 1
1.1%

122
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4470.445652
Minimum0
Maximum18257
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:02.667590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.55
Q11112
median2988.5
Q37753.5
95-th percentile12513.2
Maximum18257
Range18257
Interquartile range (IQR)6641.5

Descriptive statistics

Standard deviation4194.176343
Coefficient of variation (CV)0.9382009467
Kurtosis0.441723484
Mean4470.445652
Median Absolute Deviation (MAD)2630.5
Skewness0.998846109
Sum411281
Variance17591115.19
MonotonicityNot monotonic
2022-12-08T10:52:03.845503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
1657 1
 
1.1%
9393 1
 
1.1%
1342 1
 
1.1%
8754 1
 
1.1%
4734 1
 
1.1%
2159 1
 
1.1%
812 1
 
1.1%
2305 1
 
1.1%
5107 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
6 1
1.1%
29 1
1.1%
30 1
1.1%
ValueCountFrequency (%)
18257 1
1.1%
15184 1
1.1%
14580 1
1.1%
13680 1
1.1%
12522 1
1.1%

123
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5429.891304
Minimum0
Maximum22228
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:04.026621image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11456.5
median3430.5
Q39331.5
95-th percentile15094.6
Maximum22228
Range22228
Interquartile range (IQR)7875

Descriptive statistics

Standard deviation5147.112227
Coefficient of variation (CV)0.9479217793
Kurtosis0.438804786
Mean5429.891304
Median Absolute Deviation (MAD)2986.5
Skewness1.049205267
Sum499550
Variance26492764.27
MonotonicityNot monotonic
2022-12-08T10:52:04.152797image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2842 1
 
1.1%
2063 1
 
1.1%
3932 1
 
1.1%
1994 1
 
1.1%
9598 1
 
1.1%
5818 1
 
1.1%
1592 1
 
1.1%
1166 1
 
1.1%
3338 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
33 1
 
1.1%
136 1
 
1.1%
167 1
 
1.1%
ValueCountFrequency (%)
22228 1
1.1%
18375 1
1.1%
18374 1
1.1%
15890 1
1.1%
15440 1
1.1%

124
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5264.619565
Minimum0
Maximum19899
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:04.281471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11601.75
median3594
Q38297.5
95-th percentile14049.7
Maximum19899
Range19899
Interquartile range (IQR)6695.75

Descriptive statistics

Standard deviation4923.128336
Coefficient of variation (CV)0.9351346807
Kurtosis0.01532184763
Mean5264.619565
Median Absolute Deviation (MAD)3105
Skewness0.9598669579
Sum484345
Variance24237192.61
MonotonicityNot monotonic
2022-12-08T10:52:04.423654image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2243 2
 
2.2%
2637 1
 
1.1%
12163 1
 
1.1%
1819 1
 
1.1%
9390 1
 
1.1%
4505 1
 
1.1%
1681 1
 
1.1%
895 1
 
1.1%
2702 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
50 1
 
1.1%
52 1
 
1.1%
152 1
 
1.1%
ValueCountFrequency (%)
19899 1
1.1%
17856 1
1.1%
15935 1
1.1%
15897 1
1.1%
14482 1
1.1%

125
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5272.456522
Minimum0
Maximum20476
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:04.581265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.75
Q11453.5
median3669.5
Q39454.5
95-th percentile14103.2
Maximum20476
Range20476
Interquartile range (IQR)8001

Descriptive statistics

Standard deviation4865.892372
Coefficient of variation (CV)0.9228890466
Kurtosis0.3392184795
Mean5272.456522
Median Absolute Deviation (MAD)3131.5
Skewness0.9792654791
Sum485066
Variance23676908.58
MonotonicityNot monotonic
2022-12-08T10:52:04.709430image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2717 2
 
2.2%
2159 1
 
1.1%
9534 1
 
1.1%
4319 1
 
1.1%
2008 1
 
1.1%
9428 1
 
1.1%
5583 1
 
1.1%
2070 1
 
1.1%
1148 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
4 1
 
1.1%
9 1
 
1.1%
54 1
 
1.1%
ValueCountFrequency (%)
20476 1
1.1%
19400 1
1.1%
16240 1
1.1%
14422 1
1.1%
14299 1
1.1%

126
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5257.978261
Minimum0
Maximum21455
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:04.868513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11354.75
median3297.5
Q39101
95-th percentile14096.8
Maximum21455
Range21455
Interquartile range (IQR)7746.25

Descriptive statistics

Standard deviation4933.372647
Coefficient of variation (CV)0.9382641772
Kurtosis0.1930391165
Mean5257.978261
Median Absolute Deviation (MAD)2978
Skewness0.9736591816
Sum483734
Variance24338165.67
MonotonicityNot monotonic
2022-12-08T10:52:05.003172image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2373 1
 
1.1%
2560 1
 
1.1%
4436 1
 
1.1%
1913 1
 
1.1%
8977 1
 
1.1%
4362 1
 
1.1%
1928 1
 
1.1%
1216 1
 
1.1%
3286 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
24 1
 
1.1%
28 1
 
1.1%
83 1
 
1.1%
ValueCountFrequency (%)
21455 1
1.1%
17270 1
1.1%
15006 1
1.1%
14409 1
1.1%
14176 1
1.1%

127
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5261.141304
Minimum0
Maximum19244
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:05.143304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q11434.5
median3224.5
Q38379.25
95-th percentile13948.55
Maximum19244
Range19244
Interquartile range (IQR)6944.75

Descriptive statistics

Standard deviation4975.45962
Coefficient of variation (CV)0.9456996747
Kurtosis-0.04249372228
Mean5261.141304
Median Absolute Deviation (MAD)2904.5
Skewness0.9522460149
Sum484025
Variance24755198.43
MonotonicityNot monotonic
2022-12-08T10:52:05.278590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3097 2
 
2.2%
12 2
 
2.2%
2130 1
 
1.1%
3443 1
 
1.1%
1324 1
 
1.1%
9306 1
 
1.1%
4545 1
 
1.1%
1465 1
 
1.1%
1222 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
12 2
2.2%
17 1
 
1.1%
27 1
 
1.1%
39 1
 
1.1%
ValueCountFrequency (%)
19244 1
1.1%
19212 1
1.1%
16660 1
1.1%
14685 1
1.1%
13959 1
1.1%

128
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4621.565217
Minimum0
Maximum19784
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:05.422721image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11523.5
median3058.5
Q37013
95-th percentile12502.75
Maximum19784
Range19784
Interquartile range (IQR)5489.5

Descriptive statistics

Standard deviation4317.573711
Coefficient of variation (CV)0.9342232574
Kurtosis0.5355841168
Mean4621.565217
Median Absolute Deviation (MAD)2536.5
Skewness1.05608525
Sum425184
Variance18641442.75
MonotonicityNot monotonic
2022-12-08T10:52:05.558869image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2278 1
 
1.1%
1904 1
 
1.1%
1665 1
 
1.1%
1819 1
 
1.1%
6970 1
 
1.1%
4816 1
 
1.1%
1351 1
 
1.1%
1074 1
 
1.1%
3141 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
9 1
 
1.1%
21 1
 
1.1%
36 1
 
1.1%
73 1
 
1.1%
ValueCountFrequency (%)
19784 1
1.1%
14036 1
1.1%
13436 1
1.1%
13384 1
1.1%
12632 1
1.1%

129
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5628.706522
Minimum0
Maximum23534
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:05.701516image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.45
Q11629
median3199.5
Q38781.5
95-th percentile15137.25
Maximum23534
Range23534
Interquartile range (IQR)7152.5

Descriptive statistics

Standard deviation5424.146059
Coefficient of variation (CV)0.9636576429
Kurtosis0.5041541231
Mean5628.706522
Median Absolute Deviation (MAD)2834
Skewness1.076461025
Sum517841
Variance29421360.47
MonotonicityNot monotonic
2022-12-08T10:52:05.833670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
12804 2
 
2.2%
2750 1
 
1.1%
2140 1
 
1.1%
3315 1
 
1.1%
1765 1
 
1.1%
11153 1
 
1.1%
4545 1
 
1.1%
2310 1
 
1.1%
1013 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
60 1
 
1.1%
68 1
 
1.1%
142 1
 
1.1%
ValueCountFrequency (%)
23534 1
1.1%
20650 1
1.1%
18086 1
1.1%
16206 1
1.1%
15305 1
1.1%

130
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4641.48913
Minimum0
Maximum17439
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:05.971352image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11107
median2897.5
Q37808.5
95-th percentile12167.15
Maximum17439
Range17439
Interquartile range (IQR)6701.5

Descriptive statistics

Standard deviation4415.343605
Coefficient of variation (CV)0.951277377
Kurtosis0.1576397949
Mean4641.48913
Median Absolute Deviation (MAD)2561.5
Skewness0.9952677789
Sum427017
Variance19495259.15
MonotonicityNot monotonic
2022-12-08T10:52:06.105021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2098 1
 
1.1%
1281 1
 
1.1%
2884 1
 
1.1%
1813 1
 
1.1%
8731 1
 
1.1%
4690 1
 
1.1%
1040 1
 
1.1%
970 1
 
1.1%
2031 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
29 1
 
1.1%
38 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
17439 1
1.1%
17359 1
1.1%
15437 1
1.1%
13054 1
1.1%
12171 1
1.1%

131
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5016.445652
Minimum0
Maximum20981
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:06.244166image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11396.5
median3142.5
Q38112
95-th percentile13955.6
Maximum20981
Range20981
Interquartile range (IQR)6715.5

Descriptive statistics

Standard deviation4935.202405
Coefficient of variation (CV)0.9838046193
Kurtosis0.6673340087
Mean5016.445652
Median Absolute Deviation (MAD)2787.5
Skewness1.132407289
Sum461513
Variance24356222.78
MonotonicityNot monotonic
2022-12-08T10:52:06.361367image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2134 2
 
2.2%
9561 1
 
1.1%
1959 1
 
1.1%
3284 1
 
1.1%
2115 1
 
1.1%
10264 1
 
1.1%
3258 1
 
1.1%
1347 1
 
1.1%
1443 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
6 1
 
1.1%
18 1
 
1.1%
66 1
 
1.1%
113 1
 
1.1%
ValueCountFrequency (%)
20981 1
1.1%
19555 1
1.1%
17096 1
1.1%
15097 1
1.1%
14092 1
1.1%

132
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4142.369565
Minimum0
Maximum15309
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:06.485064image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.7
Q11197.25
median2627.5
Q36666.75
95-th percentile11335.2
Maximum15309
Range15309
Interquartile range (IQR)5469.5

Descriptive statistics

Standard deviation3946.517201
Coefficient of variation (CV)0.9527197269
Kurtosis0.1682419981
Mean4142.369565
Median Absolute Deviation (MAD)2263
Skewness1.021271009
Sum381098
Variance15574998.02
MonotonicityNot monotonic
2022-12-08T10:52:06.612934image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2175 1
 
1.1%
8689 1
 
1.1%
3279 1
 
1.1%
1313 1
 
1.1%
7527 1
 
1.1%
3306 1
 
1.1%
1551 1
 
1.1%
759 1
 
1.1%
2586 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
20 1
 
1.1%
34 1
 
1.1%
37 1
 
1.1%
132 1
 
1.1%
ValueCountFrequency (%)
15309 1
1.1%
15086 1
1.1%
14497 1
1.1%
12011 1
1.1%
11839 1
1.1%

133
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4475.652174
Minimum0
Maximum16513
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:06.750085image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11300
median2925.5
Q37409
95-th percentile11882.6
Maximum16513
Range16513
Interquartile range (IQR)6109

Descriptive statistics

Standard deviation4173.482646
Coefficient of variation (CV)0.9324859224
Kurtosis0.009925160539
Mean4475.652174
Median Absolute Deviation (MAD)2730
Skewness0.9250881222
Sum411760
Variance17417957.39
MonotonicityNot monotonic
2022-12-08T10:52:06.881760image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1653 1
 
1.1%
1674 1
 
1.1%
2364 1
 
1.1%
1525 1
 
1.1%
9868 1
 
1.1%
4492 1
 
1.1%
1900 1
 
1.1%
929 1
 
1.1%
2517 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
26 1
 
1.1%
40 1
 
1.1%
102 1
 
1.1%
ValueCountFrequency (%)
16513 1
1.1%
15429 1
1.1%
15001 1
1.1%
12845 1
1.1%
11920 1
1.1%

134
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4968.304348
Minimum0
Maximum19086
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:07.019976image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.85
Q11332.25
median3419.5
Q38010.5
95-th percentile13523.6
Maximum19086
Range19086
Interquartile range (IQR)6678.25

Descriptive statistics

Standard deviation4517.887649
Coefficient of variation (CV)0.9093419671
Kurtosis0.218522037
Mean4968.304348
Median Absolute Deviation (MAD)3055
Skewness0.9370109624
Sum457084
Variance20411308.81
MonotonicityNot monotonic
2022-12-08T10:52:07.145155image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2145 1
 
1.1%
16228 1
 
1.1%
1309 1
 
1.1%
10636 1
 
1.1%
6944 1
 
1.1%
1816 1
 
1.1%
1210 1
 
1.1%
2209 1
 
1.1%
8237 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
3 1
1.1%
8 1
1.1%
14 1
1.1%
41 1
1.1%
ValueCountFrequency (%)
19086 1
1.1%
16274 1
1.1%
16228 1
1.1%
14419 1
1.1%
13561 1
1.1%

135
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6306.891304
Minimum0
Maximum23274
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:07.277316image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.2
Q11710.75
median4142.5
Q310450.5
95-th percentile17214.2
Maximum23274
Range23274
Interquartile range (IQR)8739.75

Descriptive statistics

Standard deviation5827.971291
Coefficient of variation (CV)0.9240640135
Kurtosis-0.08040077334
Mean6306.891304
Median Absolute Deviation (MAD)3606
Skewness0.8906018828
Sum580234
Variance33965249.37
MonotonicityNot monotonic
2022-12-08T10:52:07.398999image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3047 1
 
1.1%
13498 1
 
1.1%
3438 1
 
1.1%
1932 1
 
1.1%
11993 1
 
1.1%
6161 1
 
1.1%
2479 1
 
1.1%
1584 1
 
1.1%
2032 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
28 1
 
1.1%
30 1
 
1.1%
51 1
 
1.1%
ValueCountFrequency (%)
23274 1
1.1%
21568 1
1.1%
19359 1
1.1%
17575 1
1.1%
17388 1
1.1%

136
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4094.902174
Minimum0
Maximum15396
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:07.538139image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.85
Q11149.25
median2689.5
Q36590
95-th percentile11117.4
Maximum15396
Range15396
Interquartile range (IQR)5440.75

Descriptive statistics

Standard deviation3911.275375
Coefficient of variation (CV)0.9551572195
Kurtosis0.3055758674
Mean4094.902174
Median Absolute Deviation (MAD)2268.5
Skewness1.04945081
Sum376731
Variance15298075.06
MonotonicityNot monotonic
2022-12-08T10:52:07.666463image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1324 1
 
1.1%
8275 1
 
1.1%
1932 1
 
1.1%
1540 1
 
1.1%
9088 1
 
1.1%
2640 1
 
1.1%
1366 1
 
1.1%
1181 1
 
1.1%
2920 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
10 1
 
1.1%
13 1
 
1.1%
53 1
 
1.1%
ValueCountFrequency (%)
15396 1
1.1%
15224 1
1.1%
14100 1
1.1%
11271 1
1.1%
11234 1
1.1%

137
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4107.521739
Minimum0
Maximum15964
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:07.811095image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.3
Q11063.5
median2621.5
Q36288.25
95-th percentile11784.15
Maximum15964
Range15964
Interquartile range (IQR)5224.75

Descriptive statistics

Standard deviation3981.208808
Coefficient of variation (CV)0.969248384
Kurtosis0.1434522542
Mean4107.521739
Median Absolute Deviation (MAD)2261.5
Skewness1.043384587
Sum377892
Variance15850023.57
MonotonicityNot monotonic
2022-12-08T10:52:07.941258image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1358 2
 
2.2%
9404 1
 
1.1%
2160 1
 
1.1%
2800 1
 
1.1%
5587 1
 
1.1%
3252 1
 
1.1%
704 1
 
1.1%
795 1
 
1.1%
2557 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
14 1
 
1.1%
20 1
 
1.1%
46 1
 
1.1%
78 1
 
1.1%
ValueCountFrequency (%)
15964 1
1.1%
14309 1
1.1%
13024 1
1.1%
12500 1
1.1%
11821 1
1.1%

138
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4713.565217
Minimum0
Maximum19263
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:08.075509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11250.5
median2899
Q38001.75
95-th percentile12123.75
Maximum19263
Range19263
Interquartile range (IQR)6751.25

Descriptive statistics

Standard deviation4453.951749
Coefficient of variation (CV)0.9449220587
Kurtosis0.5002490641
Mean4713.565217
Median Absolute Deviation (MAD)2638
Skewness1.040007442
Sum433648
Variance19837686.18
MonotonicityNot monotonic
2022-12-08T10:52:08.207170image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
6532 2
 
2.2%
2042 1
 
1.1%
2640 1
 
1.1%
3476 1
 
1.1%
1703 1
 
1.1%
8787 1
 
1.1%
2936 1
 
1.1%
1531 1
 
1.1%
1298 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
22 1
 
1.1%
76 1
 
1.1%
155 1
 
1.1%
ValueCountFrequency (%)
19263 1
1.1%
17086 1
1.1%
15199 1
1.1%
14600 1
1.1%
12594 1
1.1%

139
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4709.98913
Minimum0
Maximum18522
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:08.368253image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11164
median3219
Q37524.25
95-th percentile13081.8
Maximum18522
Range18522
Interquartile range (IQR)6360.25

Descriptive statistics

Standard deviation4418.278339
Coefficient of variation (CV)0.9380655065
Kurtosis0.3383867024
Mean4709.98913
Median Absolute Deviation (MAD)2829.5
Skewness1.019923077
Sum433319
Variance19521183.48
MonotonicityNot monotonic
2022-12-08T10:52:08.513506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2158 1
 
1.1%
1710 1
 
1.1%
3635 1
 
1.1%
1714 1
 
1.1%
7482 1
 
1.1%
3245 1
 
1.1%
1526 1
 
1.1%
1030 1
 
1.1%
2497 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
21 1
 
1.1%
59 1
 
1.1%
70 1
 
1.1%
114 1
 
1.1%
ValueCountFrequency (%)
18522 1
1.1%
16224 1
1.1%
15749 1
1.1%
13623 1
1.1%
13546 1
1.1%

140
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5391.456522
Minimum0
Maximum21649
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:08.648655image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11621.5
median3293
Q38986
95-th percentile14393.1
Maximum21649
Range21649
Interquartile range (IQR)7364.5

Descriptive statistics

Standard deviation5107.005285
Coefficient of variation (CV)0.9472403726
Kurtosis0.0119761871
Mean5391.456522
Median Absolute Deviation (MAD)2857
Skewness0.9460127958
Sum496014
Variance26081502.98
MonotonicityNot monotonic
2022-12-08T10:52:08.778822image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 2
 
2.2%
3156 1
 
1.1%
2130 1
 
1.1%
3848 1
 
1.1%
1221 1
 
1.1%
10747 1
 
1.1%
5233 1
 
1.1%
2331 1
 
1.1%
1074 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
16 1
 
1.1%
17 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
21649 1
1.1%
18001 1
1.1%
15206 1
1.1%
14928 1
1.1%
14876 1
1.1%

141
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4522.282609
Minimum0
Maximum17191
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:08.927471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.6
Q11638.5
median3181
Q37396.75
95-th percentile12292.55
Maximum17191
Range17191
Interquartile range (IQR)5758.25

Descriptive statistics

Standard deviation4006.799241
Coefficient of variation (CV)0.8860125711
Kurtosis0.2042326014
Mean4522.282609
Median Absolute Deviation (MAD)2646
Skewness0.9460683309
Sum416050
Variance16054440.16
MonotonicityNot monotonic
2022-12-08T10:52:09.067185image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1619 2
 
2.2%
8347 2
 
2.2%
6293 1
 
1.1%
2735 1
 
1.1%
3042 1
 
1.1%
1931 1
 
1.1%
8736 1
 
1.1%
5278 1
 
1.1%
1742 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
14 1
 
1.1%
34 1
 
1.1%
ValueCountFrequency (%)
17191 1
1.1%
13722 1
1.1%
13582 1
1.1%
13381 1
1.1%
12358 1
1.1%

142
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5863.619565
Minimum0
Maximum22311
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:09.216682image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4
Q11818.75
median3571.5
Q310154
95-th percentile15985.7
Maximum22311
Range22311
Interquartile range (IQR)8335.25

Descriptive statistics

Standard deviation5500.935165
Coefficient of variation (CV)0.9381466693
Kurtosis0.1859116917
Mean5863.619565
Median Absolute Deviation (MAD)3330
Skewness0.9649392407
Sum539453
Variance30260287.69
MonotonicityNot monotonic
2022-12-08T10:52:09.350839image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2633 1
 
1.1%
12298 1
 
1.1%
3575 1
 
1.1%
1677 1
 
1.1%
9901 1
 
1.1%
5702 1
 
1.1%
2102 1
 
1.1%
1070 1
 
1.1%
2563 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
9 1
 
1.1%
19 1
 
1.1%
59 1
 
1.1%
ValueCountFrequency (%)
22311 1
1.1%
21964 1
1.1%
17943 1
1.1%
16954 1
1.1%
16495 1
1.1%

143
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4816.380435
Minimum0
Maximum17486
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:09.494485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.25
Q11362
median3010
Q38300.5
95-th percentile13704.7
Maximum17486
Range17486
Interquartile range (IQR)6938.5

Descriptive statistics

Standard deviation4566.039164
Coefficient of variation (CV)0.9480229449
Kurtosis-0.06492718968
Mean4816.380435
Median Absolute Deviation (MAD)2763.5
Skewness0.9466937818
Sum443107
Variance20848713.64
MonotonicityNot monotonic
2022-12-08T10:52:09.625654image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
1362 2
 
2.2%
2227 1
 
1.1%
7148 1
 
1.1%
2293 1
 
1.1%
1340 1
 
1.1%
7282 1
 
1.1%
4223 1
 
1.1%
1517 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
16 1
 
1.1%
22 1
 
1.1%
27 1
 
1.1%
ValueCountFrequency (%)
17486 1
1.1%
16410 1
1.1%
15870 1
1.1%
14666 1
1.1%
13708 1
1.1%

144
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6424.652174
Minimum0
Maximum24670
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:09.775778image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q11935
median4014.5
Q39987.5
95-th percentile17631.45
Maximum24670
Range24670
Interquartile range (IQR)8052.5

Descriptive statistics

Standard deviation6131.713133
Coefficient of variation (CV)0.9544039065
Kurtosis0.3801493001
Mean6424.652174
Median Absolute Deviation (MAD)3570
Skewness1.054172766
Sum591068
Variance37597905.94
MonotonicityNot monotonic
2022-12-08T10:52:09.915438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2 2
 
2.2%
3272 1
 
1.1%
2921 1
 
1.1%
4405 1
 
1.1%
2075 1
 
1.1%
9473 1
 
1.1%
5186 1
 
1.1%
2489 1
 
1.1%
1703 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 2
2.2%
4 1
 
1.1%
21 1
 
1.1%
ValueCountFrequency (%)
24670 1
1.1%
24093 1
1.1%
22132 1
1.1%
19005 1
1.1%
18039 1
1.1%

145
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5558.532609
Minimum0
Maximum22471
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:10.048595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11467
median3616.5
Q38569.25
95-th percentile15476.45
Maximum22471
Range22471
Interquartile range (IQR)7102.25

Descriptive statistics

Standard deviation5345.063411
Coefficient of variation (CV)0.9615961239
Kurtosis0.4425900334
Mean5558.532609
Median Absolute Deviation (MAD)3172.5
Skewness1.080162126
Sum511385
Variance28569702.87
MonotonicityNot monotonic
2022-12-08T10:52:10.170791image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2786 1
 
1.1%
2394 1
 
1.1%
4010 1
 
1.1%
2471 1
 
1.1%
10410 1
 
1.1%
5262 1
 
1.1%
1265 1
 
1.1%
1422 1
 
1.1%
3705 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
6 1
 
1.1%
15 1
 
1.1%
37 1
 
1.1%
106 1
 
1.1%
ValueCountFrequency (%)
22471 1
1.1%
19554 1
1.1%
19512 1
1.1%
16128 1
1.1%
15873 1
1.1%

146
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5989.152174
Minimum0
Maximum25829
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:10.303468image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.6
Q11835
median3760.5
Q39679
95-th percentile16059.3
Maximum25829
Range25829
Interquartile range (IQR)7844

Descriptive statistics

Standard deviation5794.620284
Coefficient of variation (CV)0.9675192942
Kurtosis1.074424556
Mean5989.152174
Median Absolute Deviation (MAD)3369.5
Skewness1.198830886
Sum551002
Variance33577624.24
MonotonicityNot monotonic
2022-12-08T10:52:10.445514image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3410 1
 
1.1%
13252 1
 
1.1%
3829 1
 
1.1%
2249 1
 
1.1%
10963 1
 
1.1%
4451 1
 
1.1%
1808 1
 
1.1%
1542 1
 
1.1%
2864 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
14 1
 
1.1%
29 1
 
1.1%
47 1
 
1.1%
ValueCountFrequency (%)
25829 1
1.1%
22413 1
1.1%
22159 1
1.1%
17884 1
1.1%
16133 1
1.1%

147
Real number (ℝ)

UNIQUE
ZEROS

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4776.521739
Minimum0
Maximum19094
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:10.586226image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.25
Q11037.25
median3521.5
Q37334.25
95-th percentile12964.6
Maximum19094
Range19094
Interquartile range (IQR)6297

Descriptive statistics

Standard deviation4511.035318
Coefficient of variation (CV)0.9444184626
Kurtosis0.4087676286
Mean4776.521739
Median Absolute Deviation (MAD)2953.5
Skewness1.018222027
Sum439440
Variance20349439.64
MonotonicityNot monotonic
2022-12-08T10:52:10.723384image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2603 1
 
1.1%
12996 1
 
1.1%
1495 1
 
1.1%
9011 1
 
1.1%
6702 1
 
1.1%
1506 1
 
1.1%
975 1
 
1.1%
1733 1
 
1.1%
6176 1
 
1.1%
1002 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
0 1
1.1%
5 1
1.1%
50 1
1.1%
71 1
1.1%
72 1
1.1%
ValueCountFrequency (%)
19094 1
1.1%
16667 1
1.1%
16638 1
1.1%
12996 1
1.1%
12991 1
1.1%

148
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5813.967391
Minimum0
Maximum21421
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:10.866516image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.9
Q11242.5
median3855.5
Q39622.25
95-th percentile17090.95
Maximum21421
Range21421
Interquartile range (IQR)8379.75

Descriptive statistics

Standard deviation5556.374932
Coefficient of variation (CV)0.9556942029
Kurtosis0.1232931391
Mean5813.967391
Median Absolute Deviation (MAD)3249
Skewness1.008538925
Sum534885
Variance30873302.38
MonotonicityNot monotonic
2022-12-08T10:52:11.000189image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
91 2
 
2.2%
2115 1
 
1.1%
9596 1
 
1.1%
1244 1
 
1.1%
8734 1
 
1.1%
4801 1
 
1.1%
1927 1
 
1.1%
824 1
 
1.1%
1839 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
8 1
 
1.1%
26 1
 
1.1%
91 2
2.2%
ValueCountFrequency (%)
21421 1
1.1%
20738 1
1.1%
18677 1
1.1%
17624 1
1.1%
17559 1
1.1%

149
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5105.054348
Minimum0
Maximum21114
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:11.126368image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.55
Q11265.5
median3573.5
Q37494
95-th percentile14218.45
Maximum21114
Range21114
Interquartile range (IQR)6228.5

Descriptive statistics

Standard deviation4947.896948
Coefficient of variation (CV)0.9692153326
Kurtosis1.155280812
Mean5105.054348
Median Absolute Deviation (MAD)2852.5
Skewness1.216881849
Sum469665
Variance24481684.21
MonotonicityNot monotonic
2022-12-08T10:52:11.258531image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
2.2%
2475 1
 
1.1%
13687 1
 
1.1%
1642 1
 
1.1%
7969 1
 
1.1%
6002 1
 
1.1%
2068 1
 
1.1%
1395 1
 
1.1%
2409 1
 
1.1%
6781 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 1
1.1%
1 2
2.2%
7 1
1.1%
13 1
1.1%
14 1
1.1%
ValueCountFrequency (%)
21114 1
1.1%
20900 1
1.1%
17157 1
1.1%
16683 1
1.1%
14868 1
1.1%

150
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4897.217391
Minimum0
Maximum20291
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:11.399809image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11348.75
median2925.5
Q38318.75
95-th percentile13842.25
Maximum20291
Range20291
Interquartile range (IQR)6970

Descriptive statistics

Standard deviation4724.93044
Coefficient of variation (CV)0.9648194194
Kurtosis0.3358270669
Mean4897.217391
Median Absolute Deviation (MAD)2649.5
Skewness1.044669262
Sum450544
Variance22324967.67
MonotonicityNot monotonic
2022-12-08T10:52:11.541941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2 2
 
2.2%
2105 1
 
1.1%
9147 1
 
1.1%
2622 1
 
1.1%
3182 1
 
1.1%
1498 1
 
1.1%
8816 1
 
1.1%
4406 1
 
1.1%
1410 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 2
 
2.2%
4 1
 
1.1%
37 1
 
1.1%
151 1
 
1.1%
ValueCountFrequency (%)
20291 1
1.1%
16719 1
1.1%
15789 1
1.1%
14354 1
1.1%
14219 1
1.1%

151
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4749.641304
Minimum0
Maximum16817
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:11.692187image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11135.25
median3036
Q37517.25
95-th percentile12825.85
Maximum16817
Range16817
Interquartile range (IQR)6382

Descriptive statistics

Standard deviation4565.68347
Coefficient of variation (CV)0.9612691102
Kurtosis-0.2332454183
Mean4749.641304
Median Absolute Deviation (MAD)2739.5
Skewness0.8974636788
Sum436967
Variance20845465.55
MonotonicityNot monotonic
2022-12-08T10:52:11.832320image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1279 2
 
2.2%
8591 2
 
2.2%
1859 1
 
1.1%
9759 1
 
1.1%
7394 1
 
1.1%
4885 1
 
1.1%
1755 1
 
1.1%
1231 1
 
1.1%
3236 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
9 1
 
1.1%
14 1
 
1.1%
38 1
 
1.1%
ValueCountFrequency (%)
16817 1
1.1%
16489 1
1.1%
15501 1
1.1%
14896 1
1.1%
12954 1
1.1%

152
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5771.456522
Minimum0
Maximum19804
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:11.991612image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.9
Q11627.5
median3598.5
Q39630.5
95-th percentile16981.45
Maximum19804
Range19804
Interquartile range (IQR)8003

Descriptive statistics

Standard deviation5421.894548
Coefficient of variation (CV)0.9394326247
Kurtosis-0.1637880314
Mean5771.456522
Median Absolute Deviation (MAD)3220.5
Skewness0.9252018149
Sum530974
Variance29396940.49
MonotonicityNot monotonic
2022-12-08T10:52:12.154687image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
519 2
 
2.2%
2530 1
 
1.1%
10220 1
 
1.1%
1696 1
 
1.1%
10557 1
 
1.1%
6687 1
 
1.1%
1467 1
 
1.1%
1457 1
 
1.1%
3542 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
3 1
1.1%
4 1
1.1%
5 1
1.1%
23 1
1.1%
ValueCountFrequency (%)
19804 1
1.1%
19612 1
1.1%
18773 1
1.1%
17299 1
1.1%
17048 1
1.1%

153
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4495.543478
Minimum0
Maximum16732
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:12.297332image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q11219.75
median3243
Q37714.5
95-th percentile12132.5
Maximum16732
Range16732
Interquartile range (IQR)6494.75

Descriptive statistics

Standard deviation4178.471492
Coefficient of variation (CV)0.9294697098
Kurtosis0.2061118334
Mean4495.543478
Median Absolute Deviation (MAD)2663.5
Skewness0.9795761072
Sum413590
Variance17459624.01
MonotonicityNot monotonic
2022-12-08T10:52:12.424506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1909 1
 
1.1%
9403 1
 
1.1%
2293 1
 
1.1%
1180 1
 
1.1%
7530 1
 
1.1%
3968 1
 
1.1%
1515 1
 
1.1%
708 1
 
1.1%
1852 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
4 1
 
1.1%
6 1
 
1.1%
ValueCountFrequency (%)
16732 1
1.1%
16719 1
1.1%
13718 1
1.1%
13242 1
1.1%
12688 1
1.1%

154
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5380.75
Minimum0
Maximum21100
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:12.576149image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.75
Q11615
median3618
Q38822.75
95-th percentile14702.1
Maximum21100
Range21100
Interquartile range (IQR)7207.75

Descriptive statistics

Standard deviation5030.803476
Coefficient of variation (CV)0.9349632442
Kurtosis0.4100485796
Mean5380.75
Median Absolute Deviation (MAD)3114
Skewness1.055912496
Sum495029
Variance25308983.62
MonotonicityNot monotonic
2022-12-08T10:52:12.696851image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2972 1
 
1.1%
2280 1
 
1.1%
3807 1
 
1.1%
2095 1
 
1.1%
9541 1
 
1.1%
4711 1
 
1.1%
2320 1
 
1.1%
1303 1
 
1.1%
4331 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
25 1
 
1.1%
102 1
 
1.1%
118 1
 
1.1%
133 1
 
1.1%
ValueCountFrequency (%)
21100 1
1.1%
18630 1
1.1%
18072 1
1.1%
16056 1
1.1%
15328 1
1.1%

155
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4396.076087
Minimum0
Maximum16664
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:12.848962image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.5
Q11418.25
median2825.5
Q37287.75
95-th percentile11673.7
Maximum16664
Range16664
Interquartile range (IQR)5869.5

Descriptive statistics

Standard deviation4171.285962
Coefficient of variation (CV)0.9488657338
Kurtosis0.3681346914
Mean4396.076087
Median Absolute Deviation (MAD)2428
Skewness1.072182345
Sum404439
Variance17399626.58
MonotonicityNot monotonic
2022-12-08T10:52:12.979131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93 2
 
2.2%
0 2
 
2.2%
1659 1
 
1.1%
1615 1
 
1.1%
6592 1
 
1.1%
6048 1
 
1.1%
1470 1
 
1.1%
1149 1
 
1.1%
3218 1
 
1.1%
6985 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
2 1
1.1%
3 1
1.1%
8 1
1.1%
38 1
1.1%
ValueCountFrequency (%)
16664 1
1.1%
16621 1
1.1%
14282 1
1.1%
13635 1
1.1%
11765 1
1.1%

156
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4583.206522
Minimum0
Maximum16951
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:13.120398image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile93.3
Q11445.75
median3205
Q37519.5
95-th percentile12597.75
Maximum16951
Range16951
Interquartile range (IQR)6073.75

Descriptive statistics

Standard deviation4141.512309
Coefficient of variation (CV)0.9036276873
Kurtosis0.5132111106
Mean4583.206522
Median Absolute Deviation (MAD)2411.5
Skewness1.060575699
Sum421655
Variance17152124.21
MonotonicityNot monotonic
2022-12-08T10:52:13.266527image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2972 2
 
2.2%
2029 1
 
1.1%
1749 1
 
1.1%
2245 1
 
1.1%
7864 1
 
1.1%
3995 1
 
1.1%
1658 1
 
1.1%
1409 1
 
1.1%
3694 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
16 1
1.1%
24 1
1.1%
150 1
1.1%
ValueCountFrequency (%)
16951 1
1.1%
16312 1
1.1%
15658 1
1.1%
13668 1
1.1%
12782 1
1.1%

157
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5066.630435
Minimum0
Maximum20656
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:13.405188image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11418
median3057.5
Q38582.5
95-th percentile13325.6
Maximum20656
Range20656
Interquartile range (IQR)7164.5

Descriptive statistics

Standard deviation4919.224364
Coefficient of variation (CV)0.9709064885
Kurtosis0.7053914702
Mean5066.630435
Median Absolute Deviation (MAD)2667
Skewness1.127089603
Sum466130
Variance24198768.35
MonotonicityNot monotonic
2022-12-08T10:52:13.566850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
2187 1
 
1.1%
1423 1
 
1.1%
2544 1
 
1.1%
1403 1
 
1.1%
8587 1
 
1.1%
3521 1
 
1.1%
1467 1
 
1.1%
920 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
3 1
 
1.1%
96 1
 
1.1%
103 1
 
1.1%
ValueCountFrequency (%)
20656 1
1.1%
20622 1
1.1%
16879 1
1.1%
14144 1
1.1%
13418 1
1.1%

158
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3960.521739
Minimum0
Maximum15794
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:13.708508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11028
median2601
Q36801.75
95-th percentile9980.95
Maximum15794
Range15794
Interquartile range (IQR)5773.75

Descriptive statistics

Standard deviation3693.085626
Coefficient of variation (CV)0.9324745246
Kurtosis0.3563013613
Mean3960.521739
Median Absolute Deviation (MAD)2293.5
Skewness1.00637776
Sum364368
Variance13638881.44
MonotonicityNot monotonic
2022-12-08T10:52:13.856631image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2208 1
 
1.1%
1033 1
 
1.1%
2430 1
 
1.1%
1140 1
 
1.1%
5535 1
 
1.1%
4041 1
 
1.1%
1103 1
 
1.1%
716 1
 
1.1%
2345 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
11 1
 
1.1%
60 1
 
1.1%
106 1
 
1.1%
174 1
 
1.1%
ValueCountFrequency (%)
15794 1
1.1%
14258 1
1.1%
12761 1
1.1%
10840 1
1.1%
10196 1
1.1%

159
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4383.065217
Minimum0
Maximum16599
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:14.012250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11126.75
median2734
Q37048.75
95-th percentile12223.65
Maximum16599
Range16599
Interquartile range (IQR)5922

Descriptive statistics

Standard deviation4166.053715
Coefficient of variation (CV)0.950488644
Kurtosis0.2682530881
Mean4383.065217
Median Absolute Deviation (MAD)2408.5
Skewness1.036060345
Sum403242
Variance17356003.56
MonotonicityNot monotonic
2022-12-08T10:52:14.151395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2196 1
 
1.1%
1719 1
 
1.1%
3645 1
 
1.1%
1084 1
 
1.1%
7011 1
 
1.1%
3855 1
 
1.1%
1425 1
 
1.1%
1004 1
 
1.1%
2729 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
6 1
 
1.1%
15 1
 
1.1%
94 1
 
1.1%
ValueCountFrequency (%)
16599 1
1.1%
16539 1
1.1%
14155 1
1.1%
12537 1
1.1%
12266 1
1.1%

160
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5899.565217
Minimum0
Maximum25247
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:14.290541image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.75
Q11897
median3797
Q39650
95-th percentile16760.35
Maximum25247
Range25247
Interquartile range (IQR)7753

Descriptive statistics

Standard deviation5615.747416
Coefficient of variation (CV)0.9518917427
Kurtosis0.6723759497
Mean5899.565217
Median Absolute Deviation (MAD)3469
Skewness1.108365525
Sum542760
Variance31536619.04
MonotonicityNot monotonic
2022-12-08T10:52:14.445155image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2693 1
 
1.1%
11758 1
 
1.1%
3750 1
 
1.1%
1741 1
 
1.1%
9917 1
 
1.1%
4133 1
 
1.1%
2016 1
 
1.1%
1234 1
 
1.1%
4156 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
6 1
 
1.1%
8 1
 
1.1%
23 1
 
1.1%
ValueCountFrequency (%)
25247 1
1.1%
19237 1
1.1%
19032 1
1.1%
17638 1
1.1%
16905 1
1.1%

161
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5247.23913
Minimum0
Maximum21033
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:14.597783image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11516
median3409
Q38569.75
95-th percentile13574.05
Maximum21033
Range21033
Interquartile range (IQR)7053.75

Descriptive statistics

Standard deviation4943.296167
Coefficient of variation (CV)0.942075641
Kurtosis0.3370051373
Mean5247.23913
Median Absolute Deviation (MAD)2926.5
Skewness1.019741499
Sum482746
Variance24436177
MonotonicityNot monotonic
2022-12-08T10:52:14.737926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2809 1
 
1.1%
1983 1
 
1.1%
3447 1
 
1.1%
2246 1
 
1.1%
8538 1
 
1.1%
3354 1
 
1.1%
1544 1
 
1.1%
1432 1
 
1.1%
3325 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
5 1
 
1.1%
33 1
 
1.1%
78 1
 
1.1%
ValueCountFrequency (%)
21033 1
1.1%
19222 1
1.1%
16170 1
1.1%
15222 1
1.1%
14228 1
1.1%

162
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5105.086957
Minimum0
Maximum19937
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:14.897530image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11369.5
median3391
Q38640.75
95-th percentile14411.95
Maximum19937
Range19937
Interquartile range (IQR)7271.25

Descriptive statistics

Standard deviation4852.78945
Coefficient of variation (CV)0.950579195
Kurtosis0.2651157886
Mean5105.086957
Median Absolute Deviation (MAD)3062
Skewness1.020990137
Sum469668
Variance23549565.44
MonotonicityNot monotonic
2022-12-08T10:52:15.031308image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2073 1
 
1.1%
954 1
 
1.1%
3280 1
 
1.1%
1493 1
 
1.1%
10236 1
 
1.1%
5712 1
 
1.1%
1780 1
 
1.1%
733 1
 
1.1%
2095 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
19 1
 
1.1%
33 1
 
1.1%
74 1
 
1.1%
ValueCountFrequency (%)
19937 1
1.1%
17291 1
1.1%
16642 1
1.1%
16536 1
1.1%
14902 1
1.1%

163
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4341.445652
Minimum0
Maximum16032
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:15.192950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.75
Q11483.25
median2879
Q37135.75
95-th percentile11678.3
Maximum16032
Range16032
Interquartile range (IQR)5652.5

Descriptive statistics

Standard deviation3939.811091
Coefficient of variation (CV)0.9074882901
Kurtosis0.2033863433
Mean4341.445652
Median Absolute Deviation (MAD)2291.5
Skewness1.001412006
Sum399413
Variance15522111.44
MonotonicityNot monotonic
2022-12-08T10:52:15.332592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2117 1
 
1.1%
9111 1
 
1.1%
2798 1
 
1.1%
1575 1
 
1.1%
7637 1
 
1.1%
2676 1
 
1.1%
1191 1
 
1.1%
1049 1
 
1.1%
2521 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
7 1
 
1.1%
12 1
 
1.1%
37 1
 
1.1%
51 1
 
1.1%
ValueCountFrequency (%)
16032 1
1.1%
15094 1
1.1%
13624 1
1.1%
12949 1
1.1%
12423 1
1.1%

164
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6336.782609
Minimum0
Maximum26983
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:15.481709image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11526.25
median4122
Q310776.5
95-th percentile17072.2
Maximum26983
Range26983
Interquartile range (IQR)9250.25

Descriptive statistics

Standard deviation6199.938153
Coefficient of variation (CV)0.9784047419
Kurtosis0.7109271129
Mean6336.782609
Median Absolute Deviation (MAD)3668.5
Skewness1.132990608
Sum582984
Variance38439233.1
MonotonicityNot monotonic
2022-12-08T10:52:15.621356image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3701 1
 
1.1%
2338 1
 
1.1%
4547 1
 
1.1%
2391 1
 
1.1%
11375 1
 
1.1%
4899 1
 
1.1%
1691 1
 
1.1%
1331 1
 
1.1%
3274 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
21 1
 
1.1%
38 1
 
1.1%
94 1
 
1.1%
216 1
 
1.1%
ValueCountFrequency (%)
26983 1
1.1%
23273 1
1.1%
21178 1
1.1%
21152 1
1.1%
17862 1
1.1%

165
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5448.5
Minimum0
Maximum23565
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:15.761497image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11396.25
median3661.5
Q38274
95-th percentile15220.85
Maximum23565
Range23565
Interquartile range (IQR)6877.75

Descriptive statistics

Standard deviation5168.426278
Coefficient of variation (CV)0.9485961783
Kurtosis0.7746442323
Mean5448.5
Median Absolute Deviation (MAD)3343
Skewness1.094544665
Sum501262
Variance26712630.19
MonotonicityNot monotonic
2022-12-08T10:52:15.903146image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3648 2
 
2.2%
2361 1
 
1.1%
1928 1
 
1.1%
1755 1
 
1.1%
9590 1
 
1.1%
5403 1
 
1.1%
1663 1
 
1.1%
1399 1
 
1.1%
3064 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
9 1
 
1.1%
18 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
23565 1
1.1%
18078 1
1.1%
17911 1
1.1%
16295 1
1.1%
15228 1
1.1%

166
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4781.25
Minimum0
Maximum18678
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:16.059244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q11278.5
median3096
Q37774
95-th percentile12983.15
Maximum18678
Range18678
Interquartile range (IQR)6495.5

Descriptive statistics

Standard deviation4484.709197
Coefficient of variation (CV)0.9379783942
Kurtosis0.1050471798
Mean4781.25
Median Absolute Deviation (MAD)2830
Skewness0.9700652914
Sum439875
Variance20112616.59
MonotonicityNot monotonic
2022-12-08T10:52:16.212852image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2378 1
 
1.1%
10089 1
 
1.1%
3587 1
 
1.1%
1478 1
 
1.1%
8738 1
 
1.1%
4229 1
 
1.1%
1674 1
 
1.1%
1054 1
 
1.1%
3124 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
4 1
 
1.1%
65 1
 
1.1%
ValueCountFrequency (%)
18678 1
1.1%
16586 1
1.1%
14285 1
1.1%
13495 1
1.1%
13108 1
1.1%

167
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5215.706522
Minimum0
Maximum20282
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:16.365956image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.95
Q11372.75
median3482
Q38346.75
95-th percentile14287.2
Maximum20282
Range20282
Interquartile range (IQR)6974

Descriptive statistics

Standard deviation4826.028931
Coefficient of variation (CV)0.9252876692
Kurtosis0.246319789
Mean5215.706522
Median Absolute Deviation (MAD)2990
Skewness0.984136908
Sum479845
Variance23290555.24
MonotonicityNot monotonic
2022-12-08T10:52:16.513595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2794 2
 
2.2%
52 2
 
2.2%
8145 1
 
1.1%
2593 1
 
1.1%
3636 1
 
1.1%
1751 1
 
1.1%
8797 1
 
1.1%
4239 1
 
1.1%
1847 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
52 2
2.2%
97 1
 
1.1%
108 1
 
1.1%
ValueCountFrequency (%)
20282 1
1.1%
18322 1
1.1%
15966 1
1.1%
14384 1
1.1%
14373 1
1.1%

168
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5562.195652
Minimum0
Maximum24662
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:16.672684image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11292
median3640
Q38858.25
95-th percentile15630.95
Maximum24662
Range24662
Interquartile range (IQR)7566.25

Descriptive statistics

Standard deviation5463.092129
Coefficient of variation (CV)0.9821826614
Kurtosis0.9337780688
Mean5562.195652
Median Absolute Deviation (MAD)3287
Skewness1.162171286
Sum511722
Variance29845375.61
MonotonicityNot monotonic
2022-12-08T10:52:16.823305image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
3014 1
 
1.1%
2161 1
 
1.1%
4273 1
 
1.1%
1305 1
 
1.1%
10556 1
 
1.1%
4617 1
 
1.1%
2371 1
 
1.1%
1024 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
3 1
 
1.1%
4 1
 
1.1%
11 1
 
1.1%
ValueCountFrequency (%)
24662 1
1.1%
20384 1
1.1%
19242 1
1.1%
16727 1
1.1%
15659 1
1.1%

169
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6211.73913
Minimum0
Maximum24050
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:16.977407image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11489.75
median3880
Q310319.5
95-th percentile17879.4
Maximum24050
Range24050
Interquartile range (IQR)8829.75

Descriptive statistics

Standard deviation5984.760151
Coefficient of variation (CV)0.9634596729
Kurtosis0.1682543213
Mean6211.73913
Median Absolute Deviation (MAD)3477
Skewness1.017608712
Sum571480
Variance35817354.06
MonotonicityNot monotonic
2022-12-08T10:52:17.132025image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3225 1
 
1.1%
1486 1
 
1.1%
4816 1
 
1.1%
2170 1
 
1.1%
11214 1
 
1.1%
3211 1
 
1.1%
2207 1
 
1.1%
1319 1
 
1.1%
3397 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
15 1
 
1.1%
31 1
 
1.1%
48 1
 
1.1%
208 1
 
1.1%
ValueCountFrequency (%)
24050 1
1.1%
22454 1
1.1%
19697 1
1.1%
18027 1
1.1%
17919 1
1.1%

170
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5474.5
Minimum0
Maximum21888
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:17.277149image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11600.5
median3368
Q38401.5
95-th percentile15085.3
Maximum21888
Range21888
Interquartile range (IQR)6801

Descriptive statistics

Standard deviation5264.991497
Coefficient of variation (CV)0.9617301118
Kurtosis0.3212019128
Mean5474.5
Median Absolute Deviation (MAD)3184.5
Skewness1.054223219
Sum503654
Variance27720135.46
MonotonicityNot monotonic
2022-12-08T10:52:17.428766image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3758 1
 
1.1%
2288 1
 
1.1%
3833 1
 
1.1%
2491 1
 
1.1%
10154 1
 
1.1%
4688 1
 
1.1%
1650 1
 
1.1%
1602 1
 
1.1%
3358 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
4 1
 
1.1%
13 1
 
1.1%
45 1
 
1.1%
95 1
 
1.1%
ValueCountFrequency (%)
21888 1
1.1%
19168 1
1.1%
18417 1
1.1%
16850 1
1.1%
16182 1
1.1%

171
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5158.282609
Minimum0
Maximum19073
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:17.571895image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.65
Q11449.25
median3224.5
Q37867.75
95-th percentile14269.3
Maximum19073
Range19073
Interquartile range (IQR)6418.5

Descriptive statistics

Standard deviation4830.142676
Coefficient of variation (CV)0.9363858172
Kurtosis0.01388746665
Mean5158.282609
Median Absolute Deviation (MAD)2946.5
Skewness0.9511410054
Sum474562
Variance23330278.27
MonotonicityNot monotonic
2022-12-08T10:52:17.698193image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2469 1
 
1.1%
10373 1
 
1.1%
2804 1
 
1.1%
1720 1
 
1.1%
10458 1
 
1.1%
4892 1
 
1.1%
2438 1
 
1.1%
1206 1
 
1.1%
2296 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
16 1
 
1.1%
19 1
 
1.1%
28 1
 
1.1%
62 1
 
1.1%
ValueCountFrequency (%)
19073 1
1.1%
17818 1
1.1%
16481 1
1.1%
15493 1
1.1%
15355 1
1.1%

172
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5000.293478
Minimum0
Maximum20064
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:17.850818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q11121.75
median3153.5
Q37618.5
95-th percentile12909.75
Maximum20064
Range20064
Interquartile range (IQR)6496.75

Descriptive statistics

Standard deviation4801.243148
Coefficient of variation (CV)0.9601922706
Kurtosis0.1995879709
Mean5000.293478
Median Absolute Deviation (MAD)2703
Skewness1.013281469
Sum460027
Variance23051935.77
MonotonicityNot monotonic
2022-12-08T10:52:18.005108image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1776 2
 
2.2%
3023 1
 
1.1%
11741 1
 
1.1%
2961 1
 
1.1%
9768 1
 
1.1%
3885 1
 
1.1%
918 1
 
1.1%
1134 1
 
1.1%
7381 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
7 1
 
1.1%
29 1
 
1.1%
37 1
 
1.1%
ValueCountFrequency (%)
20064 1
1.1%
17281 1
1.1%
16942 1
1.1%
13644 1
1.1%
13017 1
1.1%

173
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4837.021739
Minimum0
Maximum17198
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:18.141262image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.6
Q1984.5
median3315
Q37927.5
95-th percentile13910.55
Maximum17198
Range17198
Interquartile range (IQR)6943

Descriptive statistics

Standard deviation4529.828964
Coefficient of variation (CV)0.9364913386
Kurtosis-0.175531846
Mean4837.021739
Median Absolute Deviation (MAD)2815.5
Skewness0.9036570036
Sum445006
Variance20519350.44
MonotonicityNot monotonic
2022-12-08T10:52:18.280410image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2167 1
 
1.1%
9869 1
 
1.1%
2831 1
 
1.1%
1525 1
 
1.1%
7916 1
 
1.1%
3978 1
 
1.1%
1644 1
 
1.1%
1008 1
 
1.1%
1095 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
15 1
 
1.1%
19 1
 
1.1%
24 1
 
1.1%
ValueCountFrequency (%)
17198 1
1.1%
15940 1
1.1%
15661 1
1.1%
14774 1
1.1%
14064 1
1.1%

174
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5181.076087
Minimum0
Maximum19391
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:18.419123image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q11538.5
median3241
Q38362
95-th percentile14738.95
Maximum19391
Range19391
Interquartile range (IQR)6823.5

Descriptive statistics

Standard deviation4836.479408
Coefficient of variation (CV)0.9334893614
Kurtosis0.2299422047
Mean5181.076087
Median Absolute Deviation (MAD)2757.5
Skewness1.024053722
Sum476659
Variance23391533.06
MonotonicityNot monotonic
2022-12-08T10:52:18.563250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
12 2
 
2.2%
2754 1
 
1.1%
2155 1
 
1.1%
3660 1
 
1.1%
1932 1
 
1.1%
9034 1
 
1.1%
4445 1
 
1.1%
1666 1
 
1.1%
1390 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
6 1
 
1.1%
12 2
2.2%
16 1
 
1.1%
29 1
 
1.1%
ValueCountFrequency (%)
19391 1
1.1%
18106 1
1.1%
16323 1
1.1%
16100 1
1.1%
15658 1
1.1%

175
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5443.163043
Minimum0
Maximum21738
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:18.711663image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.75
Q11557
median3345
Q38586.75
95-th percentile14676.4
Maximum21738
Range21738
Interquartile range (IQR)7029.75

Descriptive statistics

Standard deviation5347.210457
Coefficient of variation (CV)0.9823719067
Kurtosis0.4019434369
Mean5443.163043
Median Absolute Deviation (MAD)2952.5
Skewness1.108611525
Sum500771
Variance28592659.68
MonotonicityNot monotonic
2022-12-08T10:52:18.835850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3035 1
 
1.1%
11854 1
 
1.1%
2794 1
 
1.1%
1927 1
 
1.1%
8901 1
 
1.1%
4643 1
 
1.1%
1650 1
 
1.1%
1499 1
 
1.1%
2974 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
11 1
 
1.1%
16 1
 
1.1%
55 1
 
1.1%
81 1
 
1.1%
ValueCountFrequency (%)
21738 1
1.1%
20198 1
1.1%
19634 1
1.1%
15240 1
1.1%
14749 1
1.1%

176
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5789.858696
Minimum0
Maximum24386
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:18.964021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.4
Q11576
median3606
Q39218.25
95-th percentile15754.45
Maximum24386
Range24386
Interquartile range (IQR)7642.25

Descriptive statistics

Standard deviation5651.655192
Coefficient of variation (CV)0.9761300731
Kurtosis0.5778335674
Mean5789.858696
Median Absolute Deviation (MAD)3181.5
Skewness1.112155512
Sum532667
Variance31941206.41
MonotonicityNot monotonic
2022-12-08T10:52:19.095800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
8 2
 
2.2%
2953 2
 
2.2%
3174 1
 
1.1%
8963 1
 
1.1%
2462 1
 
1.1%
3644 1
 
1.1%
1706 1
 
1.1%
8612 1
 
1.1%
3914 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
8 2
 
2.2%
18 1
 
1.1%
39 1
 
1.1%
110 1
 
1.1%
ValueCountFrequency (%)
24386 1
1.1%
21734 1
1.1%
18841 1
1.1%
16977 1
1.1%
16019 1
1.1%

177
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4085.271739
Minimum0
Maximum15991
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:19.226484image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11039
median2493.5
Q36549.5
95-th percentile10949.8
Maximum15991
Range15991
Interquartile range (IQR)5510.5

Descriptive statistics

Standard deviation4022.497125
Coefficient of variation (CV)0.9846339196
Kurtosis0.428541761
Mean4085.271739
Median Absolute Deviation (MAD)2136
Skewness1.108490911
Sum375845
Variance16180483.12
MonotonicityNot monotonic
2022-12-08T10:52:19.359989image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2047 1
 
1.1%
1088 1
 
1.1%
2823 1
 
1.1%
1299 1
 
1.1%
6163 1
 
1.1%
3375 1
 
1.1%
1062 1
 
1.1%
758 1
 
1.1%
2384 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
3 1
 
1.1%
6 1
 
1.1%
92 1
 
1.1%
ValueCountFrequency (%)
15991 1
1.1%
15660 1
1.1%
14305 1
1.1%
12704 1
1.1%
10952 1
1.1%

178
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6059.48913
Minimum0
Maximum23213
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:19.526582image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11753
median3622
Q310257.25
95-th percentile16256.25
Maximum23213
Range23213
Interquartile range (IQR)8504.25

Descriptive statistics

Standard deviation5740.291853
Coefficient of variation (CV)0.9473227412
Kurtosis-0.06816167826
Mean6059.48913
Median Absolute Deviation (MAD)3354.5
Skewness0.9362110114
Sum557473
Variance32950950.56
MonotonicityNot monotonic
2022-12-08T10:52:19.654750image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3263 2
 
2.2%
1 2
 
2.2%
13411 1
 
1.1%
3748 1
 
1.1%
1792 1
 
1.1%
10533 1
 
1.1%
5275 1
 
1.1%
1782 1
 
1.1%
1084 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
6 1
 
1.1%
11 1
 
1.1%
49 1
 
1.1%
ValueCountFrequency (%)
23213 1
1.1%
20840 1
1.1%
19259 1
1.1%
16386 1
1.1%
16270 1
1.1%

179
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4688.923913
Minimum0
Maximum17622
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:19.799875image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11374.25
median3114
Q38210.5
95-th percentile11813.45
Maximum17622
Range17622
Interquartile range (IQR)6836.25

Descriptive statistics

Standard deviation4350.413754
Coefficient of variation (CV)0.9278064295
Kurtosis0.1615209279
Mean4688.923913
Median Absolute Deviation (MAD)2745.5
Skewness0.943445717
Sum431381
Variance18926099.83
MonotonicityNot monotonic
2022-12-08T10:52:19.936536image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2046 1
 
1.1%
1005 1
 
1.1%
2812 1
 
1.1%
1605 1
 
1.1%
8622 1
 
1.1%
4525 1
 
1.1%
1489 1
 
1.1%
911 1
 
1.1%
1099 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
4 1
 
1.1%
13 1
 
1.1%
47 1
 
1.1%
ValueCountFrequency (%)
17622 1
1.1%
16766 1
1.1%
16137 1
1.1%
12834 1
1.1%
11814 1
1.1%

180
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4731.554348
Minimum0
Maximum17833
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:20.094489image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q11465.25
median2981
Q38340.25
95-th percentile12599.55
Maximum17833
Range17833
Interquartile range (IQR)6875

Descriptive statistics

Standard deviation4487.450127
Coefficient of variation (CV)0.9484092959
Kurtosis0.3547926798
Mean4731.554348
Median Absolute Deviation (MAD)2669.5
Skewness1.041809359
Sum435303
Variance20137208.65
MonotonicityNot monotonic
2022-12-08T10:52:20.230144image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
6 2
 
2.2%
2128 1
 
1.1%
2230 1
 
1.1%
2952 1
 
1.1%
1529 1
 
1.1%
7059 1
 
1.1%
5040 1
 
1.1%
983 1
 
1.1%
1215 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
6 2
2.2%
19 1
 
1.1%
55 1
 
1.1%
ValueCountFrequency (%)
17833 1
1.1%
17547 1
1.1%
16818 1
1.1%
13997 1
1.1%
12808 1
1.1%

181
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4200.51087
Minimum0
Maximum15831
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:20.377259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.25
Q11143
median2834.5
Q36557.75
95-th percentile11598.55
Maximum15831
Range15831
Interquartile range (IQR)5414.75

Descriptive statistics

Standard deviation3999.415351
Coefficient of variation (CV)0.9521259379
Kurtosis0.385737851
Mean4200.51087
Median Absolute Deviation (MAD)2437.5
Skewness1.048922678
Sum386447
Variance15995323.15
MonotonicityNot monotonic
2022-12-08T10:52:20.504261image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
157 2
 
2.2%
1674 1
 
1.1%
1506 1
 
1.1%
2248 1
 
1.1%
1161 1
 
1.1%
6995 1
 
1.1%
3618 1
 
1.1%
1437 1
 
1.1%
786 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
10 1
 
1.1%
25 1
 
1.1%
33 1
 
1.1%
38 1
 
1.1%
ValueCountFrequency (%)
15831 1
1.1%
15620 1
1.1%
14295 1
1.1%
13558 1
1.1%
11840 1
1.1%

182
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4232.304348
Minimum0
Maximum16385
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:20.654890image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11064
median2710.5
Q36806
95-th percentile11279.25
Maximum16385
Range16385
Interquartile range (IQR)5742

Descriptive statistics

Standard deviation4025.389449
Coefficient of variation (CV)0.9511105814
Kurtosis0.300131647
Mean4232.304348
Median Absolute Deviation (MAD)2386
Skewness1.027182456
Sum389372
Variance16203760.21
MonotonicityNot monotonic
2022-12-08T10:52:20.782062image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
264 2
 
2.2%
1752 1
 
1.1%
3185 1
 
1.1%
1439 1
 
1.1%
8860 1
 
1.1%
2956 1
 
1.1%
1559 1
 
1.1%
983 1
 
1.1%
3006 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
8 1
 
1.1%
9 1
 
1.1%
32 1
 
1.1%
ValueCountFrequency (%)
16385 1
1.1%
16146 1
1.1%
13339 1
1.1%
11805 1
1.1%
11348 1
1.1%

183
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5458.119565
Minimum0
Maximum22120
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:20.922399image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4
Q11769.5
median3550
Q38610.75
95-th percentile15902.9
Maximum22120
Range22120
Interquartile range (IQR)6841.25

Descriptive statistics

Standard deviation5166.422532
Coefficient of variation (CV)0.9465572291
Kurtosis0.6186372442
Mean5458.119565
Median Absolute Deviation (MAD)3244.5
Skewness1.103202657
Sum502147
Variance26691921.78
MonotonicityNot monotonic
2022-12-08T10:52:21.077319image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2838 1
 
1.1%
10735 1
 
1.1%
3542 1
 
1.1%
2120 1
 
1.1%
10499 1
 
1.1%
4611 1
 
1.1%
2091 1
 
1.1%
1398 1
 
1.1%
3243 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
9 1
 
1.1%
66 1
 
1.1%
82 1
 
1.1%
ValueCountFrequency (%)
22120 1
1.1%
20307 1
1.1%
16868 1
1.1%
16476 1
1.1%
16267 1
1.1%

184
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4280.706522
Minimum0
Maximum15293
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:21.239908image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q11036.75
median2910
Q36933.5
95-th percentile11974.85
Maximum15293
Range15293
Interquartile range (IQR)5896.75

Descriptive statistics

Standard deviation4027.946237
Coefficient of variation (CV)0.9409536059
Kurtosis-0.02880824674
Mean4280.706522
Median Absolute Deviation (MAD)2528
Skewness0.9308669769
Sum393825
Variance16224350.89
MonotonicityNot monotonic
2022-12-08T10:52:21.388022image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2 2
 
2.2%
1603 1
 
1.1%
1046 1
 
1.1%
2551 1
 
1.1%
1038 1
 
1.1%
7324 1
 
1.1%
4031 1
 
1.1%
1576 1
 
1.1%
800 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 2
2.2%
8 1
 
1.1%
10 1
 
1.1%
40 1
 
1.1%
ValueCountFrequency (%)
15293 1
1.1%
14852 1
1.1%
14479 1
1.1%
12892 1
1.1%
12598 1
1.1%

185
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6353.108696
Minimum0
Maximum26254
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:21.556602image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11686.5
median4192
Q310786.25
95-th percentile17468.95
Maximum26254
Range26254
Interquartile range (IQR)9099.75

Descriptive statistics

Standard deviation5981.027486
Coefficient of variation (CV)0.9414332058
Kurtosis0.4155617437
Mean6353.108696
Median Absolute Deviation (MAD)3747.5
Skewness1.022063605
Sum584486
Variance35772689.79
MonotonicityNot monotonic
2022-12-08T10:52:21.705716image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2802 1
 
1.1%
2916 1
 
1.1%
4491 1
 
1.1%
2071 1
 
1.1%
12021 1
 
1.1%
5399 1
 
1.1%
2172 1
 
1.1%
1483 1
 
1.1%
3324 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
43 1
 
1.1%
50 1
 
1.1%
102 1
 
1.1%
ValueCountFrequency (%)
26254 1
1.1%
22211 1
1.1%
18429 1
1.1%
18225 1
1.1%
17541 1
1.1%

186
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4369.108696
Minimum0
Maximum16379
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:21.848350image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11316.75
median2833
Q36537.75
95-th percentile11197
Maximum16379
Range16379
Interquartile range (IQR)5221

Descriptive statistics

Standard deviation4021.857874
Coefficient of variation (CV)0.9205213589
Kurtosis0.2799089938
Mean4369.108696
Median Absolute Deviation (MAD)2529.5
Skewness0.9885070581
Sum401958
Variance16175340.76
MonotonicityNot monotonic
2022-12-08T10:52:21.990480image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
144 2
 
2.2%
2650 1
 
1.1%
1668 1
 
1.1%
2215 1
 
1.1%
2235 1
 
1.1%
7457 1
 
1.1%
4396 1
 
1.1%
1383 1
 
1.1%
1118 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
23 1
 
1.1%
47 1
 
1.1%
ValueCountFrequency (%)
16379 1
1.1%
15584 1
1.1%
14803 1
1.1%
11590 1
1.1%
11494 1
1.1%

187
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3806.913043
Minimum0
Maximum15162
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:22.122773image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q11035
median2602.5
Q35791.75
95-th percentile9944.85
Maximum15162
Range15162
Interquartile range (IQR)4756.75

Descriptive statistics

Standard deviation3577.118438
Coefficient of variation (CV)0.9396375482
Kurtosis0.4545443642
Mean3806.913043
Median Absolute Deviation (MAD)2316
Skewness1.048487554
Sum350236
Variance12795776.32
MonotonicityNot monotonic
2022-12-08T10:52:22.248950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1980 1
 
1.1%
9300 1
 
1.1%
2815 1
 
1.1%
1320 1
 
1.1%
5806 1
 
1.1%
3095 1
 
1.1%
1046 1
 
1.1%
786 1
 
1.1%
3138 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
4 1
 
1.1%
6 1
 
1.1%
11 1
 
1.1%
ValueCountFrequency (%)
15162 1
1.1%
14185 1
1.1%
11635 1
1.1%
10906 1
1.1%
10040 1
1.1%

188
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4428.467391
Minimum0
Maximum17567
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:22.383124image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q11207.5
median2827.5
Q36758.25
95-th percentile12864.05
Maximum17567
Range17567
Interquartile range (IQR)5550.75

Descriptive statistics

Standard deviation4318.9521
Coefficient of variation (CV)0.9752701597
Kurtosis0.4420561978
Mean4428.467391
Median Absolute Deviation (MAD)2506.5
Skewness1.102045175
Sum407419
Variance18653347.24
MonotonicityNot monotonic
2022-12-08T10:52:22.505219image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
224 2
 
2.2%
2080 1
 
1.1%
1542 1
 
1.1%
1964 1
 
1.1%
1298 1
 
1.1%
7967 1
 
1.1%
4484 1
 
1.1%
1276 1
 
1.1%
717 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
7 1
 
1.1%
82 1
 
1.1%
102 1
 
1.1%
ValueCountFrequency (%)
17567 1
1.1%
15888 1
1.1%
15557 1
1.1%
13907 1
1.1%
13375 1
1.1%

189
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3747.543478
Minimum0
Maximum11779
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:22.648446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11110
median2846
Q36068
95-th percentile10162
Maximum11779
Range11779
Interquartile range (IQR)4958

Descriptive statistics

Standard deviation3272.89592
Coefficient of variation (CV)0.8733443491
Kurtosis-0.4123446191
Mean3747.543478
Median Absolute Deviation (MAD)2214.5
Skewness0.8001394441
Sum344774
Variance10711847.7
MonotonicityNot monotonic
2022-12-08T10:52:22.780629image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1459 1
 
1.1%
1245 1
 
1.1%
2644 1
 
1.1%
1448 1
 
1.1%
6364 1
 
1.1%
3382 1
 
1.1%
1062 1
 
1.1%
936 1
 
1.1%
1858 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
75 1
 
1.1%
95 1
 
1.1%
117 1
 
1.1%
ValueCountFrequency (%)
11779 1
1.1%
11244 1
1.1%
10865 1
1.1%
10632 1
1.1%
10294 1
1.1%

190
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5384.184783
Minimum0
Maximum21679
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:22.942063image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q11285.75
median3396
Q38733.25
95-th percentile13920.75
Maximum21679
Range21679
Interquartile range (IQR)7447.5

Descriptive statistics

Standard deviation5149.059229
Coefficient of variation (CV)0.9563303335
Kurtosis0.4601793136
Mean5384.184783
Median Absolute Deviation (MAD)3072.5
Skewness1.056403584
Sum495345
Variance26512810.94
MonotonicityNot monotonic
2022-12-08T10:52:23.086186image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2922 2
 
2.2%
2645 1
 
1.1%
1785 1
 
1.1%
8755 1
 
1.1%
4122 1
 
1.1%
1923 1
 
1.1%
1192 1
 
1.1%
3009 1
 
1.1%
7819 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
5 1
 
1.1%
39 1
 
1.1%
49 1
 
1.1%
ValueCountFrequency (%)
21679 1
1.1%
20218 1
1.1%
17860 1
1.1%
15385 1
1.1%
13984 1
1.1%

191
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5902.217391
Minimum0
Maximum21468
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:23.212872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11844.5
median3635
Q39846.75
95-th percentile15033.55
Maximum21468
Range21468
Interquartile range (IQR)8002.25

Descriptive statistics

Standard deviation5509.984958
Coefficient of variation (CV)0.9335449023
Kurtosis-0.04260758584
Mean5902.217391
Median Absolute Deviation (MAD)3249.5
Skewness0.9354187353
Sum543004
Variance30359934.24
MonotonicityNot monotonic
2022-12-08T10:52:23.346029image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2872 1
 
1.1%
2154 1
 
1.1%
3059 1
 
1.1%
1990 1
 
1.1%
10302 1
 
1.1%
4733 1
 
1.1%
2288 1
 
1.1%
1306 1
 
1.1%
2447 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
15 1
 
1.1%
29 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
21468 1
1.1%
20856 1
1.1%
19675 1
1.1%
15325 1
1.1%
15220 1
1.1%

192
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5170.51087
Minimum0
Maximum18510
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:23.513103image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11297.5
median3199
Q38961.75
95-th percentile15167.3
Maximum18510
Range18510
Interquartile range (IQR)7664.25

Descriptive statistics

Standard deviation4931.847327
Coefficient of variation (CV)0.9538414
Kurtosis-0.2242170448
Mean5170.51087
Median Absolute Deviation (MAD)2921.5
Skewness0.9186881857
Sum475687
Variance24323118.05
MonotonicityNot monotonic
2022-12-08T10:52:23.680679image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1 2
 
2.2%
2449 1
 
1.1%
9195 1
 
1.1%
3165 1
 
1.1%
3775 1
 
1.1%
1791 1
 
1.1%
8884 1
 
1.1%
3918 1
 
1.1%
1296 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 2
 
2.2%
4 1
 
1.1%
47 1
 
1.1%
104 1
 
1.1%
ValueCountFrequency (%)
18510 1
1.1%
17673 1
1.1%
15924 1
1.1%
15404 1
1.1%
15296 1
1.1%

193
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5187.119565
Minimum0
Maximum23188
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:23.852252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11366
median3242
Q38980.5
95-th percentile13782.5
Maximum23188
Range23188
Interquartile range (IQR)7614.5

Descriptive statistics

Standard deviation5089.686354
Coefficient of variation (CV)0.9812163167
Kurtosis0.6954173803
Mean5187.119565
Median Absolute Deviation (MAD)2973
Skewness1.096376375
Sum477215
Variance25904907.18
MonotonicityNot monotonic
2022-12-08T10:52:24.011342image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2541 1
 
1.1%
2089 1
 
1.1%
3934 1
 
1.1%
1716 1
 
1.1%
9362 1
 
1.1%
3276 1
 
1.1%
1464 1
 
1.1%
949 1
 
1.1%
2221 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
33 1
 
1.1%
54 1
 
1.1%
93 1
 
1.1%
118 1
 
1.1%
ValueCountFrequency (%)
23188 1
1.1%
17957 1
1.1%
17078 1
1.1%
15428 1
1.1%
14151 1
1.1%

194
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4239.586957
Minimum0
Maximum15803
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:24.157967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11399
median3079
Q36755
95-th percentile11268.2
Maximum15803
Range15803
Interquartile range (IQR)5356

Descriptive statistics

Standard deviation3784.789701
Coefficient of variation (CV)0.8927260461
Kurtosis0.2846405744
Mean4239.586957
Median Absolute Deviation (MAD)2515
Skewness0.9497757769
Sum390042
Variance14324633.08
MonotonicityNot monotonic
2022-12-08T10:52:25.606966image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1773 1
 
1.1%
1717 1
 
1.1%
2979 1
 
1.1%
1423 1
 
1.1%
7239 1
 
1.1%
5278 1
 
1.1%
1327 1
 
1.1%
1152 1
 
1.1%
3276 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
49 1
 
1.1%
56 1
 
1.1%
188 1
 
1.1%
194 1
 
1.1%
ValueCountFrequency (%)
15803 1
1.1%
14518 1
1.1%
13694 1
1.1%
11819 1
1.1%
11277 1
1.1%

195
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5883.293478
Minimum0
Maximum22885
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:25.740630image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q11733.5
median3667
Q310164.5
95-th percentile15040.65
Maximum22885
Range22885
Interquartile range (IQR)8431

Descriptive statistics

Standard deviation5487.887939
Coefficient of variation (CV)0.9327918044
Kurtosis0.3378348673
Mean5883.293478
Median Absolute Deviation (MAD)3386
Skewness0.9927750927
Sum541263
Variance30116914.03
MonotonicityNot monotonic
2022-12-08T10:52:25.901710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3290 1
 
1.1%
13596 1
 
1.1%
3639 1
 
1.1%
2295 1
 
1.1%
10559 1
 
1.1%
5394 1
 
1.1%
2604 1
 
1.1%
1726 1
 
1.1%
2537 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
7 1
 
1.1%
9 1
 
1.1%
36 1
 
1.1%
ValueCountFrequency (%)
22885 1
1.1%
22396 1
1.1%
18297 1
1.1%
15167 1
1.1%
15105 1
1.1%

196
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5010.597826
Minimum0
Maximum20540
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:26.049345image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11338.75
median3060.5
Q38137.75
95-th percentile14390.1
Maximum20540
Range20540
Interquartile range (IQR)6799

Descriptive statistics

Standard deviation4868.028321
Coefficient of variation (CV)0.9715464083
Kurtosis0.8036848798
Mean5010.597826
Median Absolute Deviation (MAD)2601.5
Skewness1.183663857
Sum460975
Variance23697699.74
MonotonicityNot monotonic
2022-12-08T10:52:26.175513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2544 1
 
1.1%
1441 1
 
1.1%
2706 1
 
1.1%
1098 1
 
1.1%
7033 1
 
1.1%
4102 1
 
1.1%
1749 1
 
1.1%
807 1
 
1.1%
2572 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
52 1
 
1.1%
209 1
 
1.1%
229 1
 
1.1%
ValueCountFrequency (%)
20540 1
1.1%
18841 1
1.1%
17176 1
1.1%
16868 1
1.1%
15698 1
1.1%

197
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4546.380435
Minimum0
Maximum16129
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:26.307670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.6
Q11284.25
median2922
Q37569.75
95-th percentile12044.65
Maximum16129
Range16129
Interquartile range (IQR)6285.5

Descriptive statistics

Standard deviation4125.264744
Coefficient of variation (CV)0.9073734156
Kurtosis-0.1825379433
Mean4546.380435
Median Absolute Deviation (MAD)2587
Skewness0.9052743568
Sum418267
Variance17017809.21
MonotonicityNot monotonic
2022-12-08T10:52:26.440351image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2922 2
 
2.2%
2252 1
 
1.1%
9134 1
 
1.1%
1322 1
 
1.1%
7824 1
 
1.1%
2696 1
 
1.1%
1162 1
 
1.1%
1095 1
 
1.1%
2599 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
35 1
 
1.1%
44 1
 
1.1%
160 1
 
1.1%
ValueCountFrequency (%)
16129 1
1.1%
14248 1
1.1%
13987 1
1.1%
13930 1
1.1%
12274 1
1.1%

198
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4835.543478
Minimum0
Maximum17196
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:26.585252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11266.5
median3006
Q37776.5
95-th percentile13519.8
Maximum17196
Range17196
Interquartile range (IQR)6510

Descriptive statistics

Standard deviation4561.094252
Coefficient of variation (CV)0.9432433547
Kurtosis-0.1726839729
Mean4835.543478
Median Absolute Deviation (MAD)2640.5
Skewness0.9241395635
Sum444870
Variance20803580.78
MonotonicityNot monotonic
2022-12-08T10:52:26.720902image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2677 1
 
1.1%
1631 1
 
1.1%
2078 1
 
1.1%
1798 1
 
1.1%
8816 1
 
1.1%
4786 1
 
1.1%
1487 1
 
1.1%
1202 1
 
1.1%
2230 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
4 1
 
1.1%
36 1
 
1.1%
53 1
 
1.1%
119 1
 
1.1%
ValueCountFrequency (%)
17196 1
1.1%
16789 1
1.1%
14700 1
1.1%
14589 1
1.1%
13533 1
1.1%

199
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5197.293478
Minimum0
Maximum22574
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:26.876998image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11744
median3336.5
Q38257.75
95-th percentile13936.9
Maximum22574
Range22574
Interquartile range (IQR)6513.75

Descriptive statistics

Standard deviation4922.313352
Coefficient of variation (CV)0.9470916685
Kurtosis1.211050049
Mean5197.293478
Median Absolute Deviation (MAD)2949.5
Skewness1.204285762
Sum478151
Variance24229168.74
MonotonicityNot monotonic
2022-12-08T10:52:27.032605image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2301 1
 
1.1%
2072 1
 
1.1%
4021 1
 
1.1%
2239 1
 
1.1%
8565 1
 
1.1%
4868 1
 
1.1%
1760 1
 
1.1%
1604 1
 
1.1%
3332 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
73 1
 
1.1%
81 1
 
1.1%
84 1
 
1.1%
ValueCountFrequency (%)
22574 1
1.1%
19787 1
1.1%
17291 1
1.1%
15673 1
1.1%
14587 1
1.1%

200
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4840.043478
Minimum0
Maximum17788
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:27.178724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11536.75
median3173
Q37824
95-th percentile13256.65
Maximum17788
Range17788
Interquartile range (IQR)6287.25

Descriptive statistics

Standard deviation4602.805597
Coefficient of variation (CV)0.9509843491
Kurtosis0.07028355491
Mean4840.043478
Median Absolute Deviation (MAD)2775
Skewness1.002790365
Sum445284
Variance21185819.36
MonotonicityNot monotonic
2022-12-08T10:52:27.327344image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3592 2
 
2.2%
398 2
 
2.2%
11055 1
 
1.1%
1569 1
 
1.1%
8190 1
 
1.1%
3599 1
 
1.1%
1651 1
 
1.1%
1406 1
 
1.1%
2803 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
27 1
 
1.1%
38 1
 
1.1%
128 1
 
1.1%
ValueCountFrequency (%)
17788 1
1.1%
17080 1
1.1%
16768 1
1.1%
13618 1
1.1%
13519 1
1.1%

201
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5077.5
Minimum0
Maximum21051
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:27.470469image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.85
Q11544
median2908
Q38895
95-th percentile14128.1
Maximum21051
Range21051
Interquartile range (IQR)7351

Descriptive statistics

Standard deviation4951.478681
Coefficient of variation (CV)0.9751804395
Kurtosis0.4905693744
Mean5077.5
Median Absolute Deviation (MAD)2514
Skewness1.098215779
Sum467130
Variance24517141.13
MonotonicityNot monotonic
2022-12-08T10:52:27.597150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2410 1
 
1.1%
14093 1
 
1.1%
1857 1
 
1.1%
10314 1
 
1.1%
4060 1
 
1.1%
1586 1
 
1.1%
1114 1
 
1.1%
2716 1
 
1.1%
8464 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
2 1
1.1%
5 1
1.1%
12 1
1.1%
ValueCountFrequency (%)
21051 1
1.1%
18541 1
1.1%
17410 1
1.1%
14796 1
1.1%
14171 1
1.1%

202
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4577.978261
Minimum0
Maximum17739
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:27.726836image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11182.5
median2885
Q37649.25
95-th percentile11507.7
Maximum17739
Range17739
Interquartile range (IQR)6466.75

Descriptive statistics

Standard deviation4350.739674
Coefficient of variation (CV)0.9503626768
Kurtosis0.4563805932
Mean4577.978261
Median Absolute Deviation (MAD)2500.5
Skewness1.039673786
Sum421174
Variance18928935.71
MonotonicityNot monotonic
2022-12-08T10:52:27.855631image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
474 2
 
2.2%
2535 1
 
1.1%
1535 1
 
1.1%
2331 1
 
1.1%
1109 1
 
1.1%
8180 1
 
1.1%
3172 1
 
1.1%
1272 1
 
1.1%
724 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
31 1
 
1.1%
57 1
 
1.1%
101 1
 
1.1%
104 1
 
1.1%
ValueCountFrequency (%)
17739 1
1.1%
17403 1
1.1%
16564 1
1.1%
11779 1
1.1%
11621 1
1.1%

203
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4637.586957
Minimum0
Maximum19724
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:27.996767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11173
median3017
Q37256.75
95-th percentile12985.2
Maximum19724
Range19724
Interquartile range (IQR)6083.75

Descriptive statistics

Standard deviation4555.127253
Coefficient of variation (CV)0.9822192652
Kurtosis0.7644609342
Mean4637.586957
Median Absolute Deviation (MAD)2675.5
Skewness1.154219071
Sum426658
Variance20749184.29
MonotonicityNot monotonic
2022-12-08T10:52:28.144417image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1892 1
 
1.1%
898 1
 
1.1%
2828 1
 
1.1%
1575 1
 
1.1%
7274 1
 
1.1%
3984 1
 
1.1%
1516 1
 
1.1%
803 1
 
1.1%
2219 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
78 1
 
1.1%
83 1
 
1.1%
114 1
 
1.1%
128 1
 
1.1%
ValueCountFrequency (%)
19724 1
1.1%
17247 1
1.1%
16209 1
1.1%
14150 1
1.1%
13566 1
1.1%

204
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4296.043478
Minimum0
Maximum17378
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:28.290539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11221
median3036.5
Q36836.5
95-th percentile11441.85
Maximum17378
Range17378
Interquartile range (IQR)5615.5

Descriptive statistics

Standard deviation3887.806582
Coefficient of variation (CV)0.9049737513
Kurtosis0.3201343301
Mean4296.043478
Median Absolute Deviation (MAD)2545.5
Skewness0.9483439387
Sum395236
Variance15115040.02
MonotonicityNot monotonic
2022-12-08T10:52:28.442167image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1804 1
 
1.1%
1708 1
 
1.1%
3098 1
 
1.1%
1340 1
 
1.1%
6835 1
 
1.1%
3976 1
 
1.1%
1416 1
 
1.1%
903 1
 
1.1%
2065 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
11 1
 
1.1%
27 1
 
1.1%
36 1
 
1.1%
ValueCountFrequency (%)
17378 1
1.1%
13606 1
1.1%
12260 1
1.1%
12016 1
1.1%
11834 1
1.1%

205
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4613.423913
Minimum0
Maximum16230
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:28.602254image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11150.25
median3071.5
Q37288.5
95-th percentile12966.15
Maximum16230
Range16230
Interquartile range (IQR)6138.25

Descriptive statistics

Standard deviation4316.891345
Coefficient of variation (CV)0.9357239712
Kurtosis-0.201621481
Mean4613.423913
Median Absolute Deviation (MAD)2700
Skewness0.8891743781
Sum424435
Variance18635550.88
MonotonicityNot monotonic
2022-12-08T10:52:28.739912image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2868 1
 
1.1%
923 1
 
1.1%
2816 1
 
1.1%
1226 1
 
1.1%
8067 1
 
1.1%
4021 1
 
1.1%
1526 1
 
1.1%
828 1
 
1.1%
2019 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
19 1
 
1.1%
45 1
 
1.1%
67 1
 
1.1%
ValueCountFrequency (%)
16230 1
1.1%
15189 1
1.1%
14948 1
1.1%
13898 1
1.1%
13498 1
1.1%

206
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4449.597826
Minimum0
Maximum17589
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:28.918952image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11258
median3101.5
Q37223
95-th percentile11777.15
Maximum17589
Range17589
Interquartile range (IQR)5965

Descriptive statistics

Standard deviation4227.585781
Coefficient of variation (CV)0.9501051436
Kurtosis0.24078732
Mean4449.597826
Median Absolute Deviation (MAD)2735
Skewness1.015687302
Sum409363
Variance17872481.54
MonotonicityNot monotonic
2022-12-08T10:52:29.074571image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1286 2
 
2.2%
1 2
 
2.2%
2133 1
 
1.1%
1174 1
 
1.1%
2903 1
 
1.1%
7091 1
 
1.1%
3996 1
 
1.1%
1536 1
 
1.1%
757 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
1 2
 
2.2%
14 1
 
1.1%
124 1
 
1.1%
144 1
 
1.1%
ValueCountFrequency (%)
17589 1
1.1%
15382 1
1.1%
15123 1
1.1%
12556 1
1.1%
12034 1
1.1%

207
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4537.76087
Minimum0
Maximum17893
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:29.219706image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.1
Q11236.5
median2793.5
Q37048
95-th percentile12029.45
Maximum17893
Range17893
Interquartile range (IQR)5811.5

Descriptive statistics

Standard deviation4382.538452
Coefficient of variation (CV)0.9657931693
Kurtosis0.3276092036
Mean4537.76087
Median Absolute Deviation (MAD)2405.5
Skewness1.048055363
Sum417474
Variance19206643.28
MonotonicityNot monotonic
2022-12-08T10:52:29.365349image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1931 1
 
1.1%
9934 1
 
1.1%
2686 1
 
1.1%
1109 1
 
1.1%
6884 1
 
1.1%
3321 1
 
1.1%
1667 1
 
1.1%
756 1
 
1.1%
2372 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
4 1
 
1.1%
7 1
 
1.1%
9 1
 
1.1%
12 1
 
1.1%
ValueCountFrequency (%)
17893 1
1.1%
16712 1
1.1%
15815 1
1.1%
12986 1
1.1%
12052 1
1.1%

208
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4911.336957
Minimum0
Maximum20053
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:29.515464image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11289.5
median3156.5
Q37938.75
95-th percentile13146.4
Maximum20053
Range20053
Interquartile range (IQR)6649.25

Descriptive statistics

Standard deviation4709.459672
Coefficient of variation (CV)0.9588956558
Kurtosis0.4991124446
Mean4911.336957
Median Absolute Deviation (MAD)2781.5
Skewness1.070506575
Sum451843
Variance22179010.4
MonotonicityNot monotonic
2022-12-08T10:52:29.653130image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
7093 2
 
2.2%
1703 2
 
2.2%
1313 1
 
1.1%
2957 1
 
1.1%
1342 1
 
1.1%
8576 1
 
1.1%
4660 1
 
1.1%
1977 1
 
1.1%
940 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
3 1
 
1.1%
24 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
20053 1
1.1%
18341 1
1.1%
16220 1
1.1%
13490 1
1.1%
13153 1
1.1%

209
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5283.880435
Minimum0
Maximum23025
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:29.825192image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11706.5
median3324
Q38620
95-th percentile14326.85
Maximum23025
Range23025
Interquartile range (IQR)6913.5

Descriptive statistics

Standard deviation4895.432648
Coefficient of variation (CV)0.9264843723
Kurtosis0.6898612877
Mean5283.880435
Median Absolute Deviation (MAD)2904
Skewness1.051959207
Sum486117
Variance23965260.81
MonotonicityNot monotonic
2022-12-08T10:52:29.975821image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3898 2
 
2.2%
2678 1
 
1.1%
12129 1
 
1.1%
3872 1
 
1.1%
2445 1
 
1.1%
9067 1
 
1.1%
4711 1
 
1.1%
1573 1
 
1.1%
1600 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
15 1
 
1.1%
44 1
 
1.1%
140 1
 
1.1%
ValueCountFrequency (%)
23025 1
1.1%
15820 1
1.1%
15537 1
1.1%
14792 1
1.1%
14488 1
1.1%

210
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6018.065217
Minimum0
Maximum23421
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:30.102997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.75
Q11622.75
median3918.5
Q310193
95-th percentile15698.1
Maximum23421
Range23421
Interquartile range (IQR)8570.25

Descriptive statistics

Standard deviation5778.964472
Coefficient of variation (CV)0.9602694991
Kurtosis0.3115237015
Mean6018.065217
Median Absolute Deviation (MAD)3336.5
Skewness1.045064339
Sum553662
Variance33396430.37
MonotonicityNot monotonic
2022-12-08T10:52:30.237683image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2350 2
 
2.2%
2413 1
 
1.1%
12023 1
 
1.1%
2124 1
 
1.1%
10087 1
 
1.1%
5917 1
 
1.1%
1625 1
 
1.1%
962 1
 
1.1%
2227 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
6 1
 
1.1%
46 1
 
1.1%
94 1
 
1.1%
ValueCountFrequency (%)
23421 1
1.1%
22528 1
1.1%
20130 1
1.1%
17311 1
1.1%
15774 1
1.1%

211
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5507.847826
Minimum0
Maximum20512
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:30.390791image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.55
Q11735.75
median3727
Q39027
95-th percentile14107.75
Maximum20512
Range20512
Interquartile range (IQR)7291.25

Descriptive statistics

Standard deviation4970.346582
Coefficient of variation (CV)0.9024117475
Kurtosis0.4498953902
Mean5507.847826
Median Absolute Deviation (MAD)3076.5
Skewness1.0238353
Sum506722
Variance24704345.14
MonotonicityNot monotonic
2022-12-08T10:52:30.546414image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2805 1
 
1.1%
11686 1
 
1.1%
2922 1
 
1.1%
1849 1
 
1.1%
9016 1
 
1.1%
4089 1
 
1.1%
1677 1
 
1.1%
1484 1
 
1.1%
2709 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
23 1
 
1.1%
142 1
 
1.1%
171 1
 
1.1%
ValueCountFrequency (%)
20512 1
1.1%
20158 1
1.1%
18505 1
1.1%
14890 1
1.1%
14765 1
1.1%

212
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4258.804348
Minimum0
Maximum15772
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:30.703513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.65
Q1954.75
median3075
Q36935
95-th percentile11943.2
Maximum15772
Range15772
Interquartile range (IQR)5980.25

Descriptive statistics

Standard deviation3891.803885
Coefficient of variation (CV)0.91382547
Kurtosis0.3619165935
Mean4258.804348
Median Absolute Deviation (MAD)2504.5
Skewness1.000933799
Sum391810
Variance15146137.48
MonotonicityNot monotonic
2022-12-08T10:52:30.858136image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
187 2
 
2.2%
2673 2
 
2.2%
12 1
 
1.1%
8387 1
 
1.1%
3113 1
 
1.1%
1775 1
 
1.1%
6893 1
 
1.1%
3648 1
 
1.1%
1393 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
5 1
 
1.1%
8 1
 
1.1%
9 1
 
1.1%
12 1
 
1.1%
ValueCountFrequency (%)
15772 1
1.1%
15354 1
1.1%
14008 1
1.1%
12473 1
1.1%
12381 1
1.1%

213
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6341.119565
Minimum0
Maximum23645
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:31.008250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.1
Q11706
median4432
Q39994.5
95-th percentile18034.55
Maximum23645
Range23645
Interquartile range (IQR)8288.5

Descriptive statistics

Standard deviation6004.728049
Coefficient of variation (CV)0.9469507691
Kurtosis0.1366655707
Mean6341.119565
Median Absolute Deviation (MAD)3520.5
Skewness1.027790307
Sum583383
Variance36056758.94
MonotonicityNot monotonic
2022-12-08T10:52:31.135956image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
3127 1
 
1.1%
11523 1
 
1.1%
3303 1
 
1.1%
2307 1
 
1.1%
10608 1
 
1.1%
6240 1
 
1.1%
2212 1
 
1.1%
1252 1
 
1.1%
2292 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
144 1
 
1.1%
211 1
 
1.1%
ValueCountFrequency (%)
23645 1
1.1%
22070 1
1.1%
20763 1
1.1%
18595 1
1.1%
18177 1
1.1%

214
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5506.184783
Minimum0
Maximum23005
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:31.289070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q11745
median3751
Q38401.25
95-th percentile14973.45
Maximum23005
Range23005
Interquartile range (IQR)6656.25

Descriptive statistics

Standard deviation5181.672696
Coefficient of variation (CV)0.9410640763
Kurtosis0.6322518852
Mean5506.184783
Median Absolute Deviation (MAD)3219.5
Skewness1.082944529
Sum506569
Variance26849731.93
MonotonicityNot monotonic
2022-12-08T10:52:31.447688image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
3511 2
 
2.2%
1 2
 
2.2%
2210 1
 
1.1%
4049 1
 
1.1%
2070 1
 
1.1%
9911 1
 
1.1%
5302 1
 
1.1%
1183 1
 
1.1%
1575 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
5 1
 
1.1%
16 1
 
1.1%
23 1
 
1.1%
ValueCountFrequency (%)
23005 1
1.1%
19384 1
1.1%
18093 1
1.1%
15356 1
1.1%
15337 1
1.1%

215
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4914.967391
Minimum0
Maximum19039
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:31.628725image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11505.25
median2885.5
Q38024.25
95-th percentile13976.2
Maximum19039
Range19039
Interquartile range (IQR)6519

Descriptive statistics

Standard deviation4830.45047
Coefficient of variation (CV)0.9828041746
Kurtosis0.2519811848
Mean4914.967391
Median Absolute Deviation (MAD)2665.5
Skewness1.077896711
Sum452177
Variance23333251.75
MonotonicityNot monotonic
2022-12-08T10:52:31.780353image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2066 1
 
1.1%
1719 1
 
1.1%
2904 1
 
1.1%
1428 1
 
1.1%
8357 1
 
1.1%
4265 1
 
1.1%
1632 1
 
1.1%
991 1
 
1.1%
2539 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
4 1
 
1.1%
19 1
 
1.1%
65 1
 
1.1%
124 1
 
1.1%
ValueCountFrequency (%)
19039 1
1.1%
17920 1
1.1%
16731 1
1.1%
15646 1
1.1%
14535 1
1.1%

216
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4631.804348
Minimum0
Maximum16759
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:31.917500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.7
Q11492.5
median2852.5
Q37942.5
95-th percentile11957.95
Maximum16759
Range16759
Interquartile range (IQR)6450

Descriptive statistics

Standard deviation4300.224664
Coefficient of variation (CV)0.9284124157
Kurtosis-0.04088114064
Mean4631.804348
Median Absolute Deviation (MAD)2388.5
Skewness0.9535246884
Sum426126
Variance18491932.16
MonotonicityNot monotonic
2022-12-08T10:52:32.043198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2215 1
 
1.1%
10596 1
 
1.1%
2962 1
 
1.1%
1784 1
 
1.1%
8419 1
 
1.1%
3280 1
 
1.1%
1718 1
 
1.1%
1306 1
 
1.1%
1854 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
10 1
 
1.1%
24 1
 
1.1%
29 1
 
1.1%
39 1
 
1.1%
ValueCountFrequency (%)
16759 1
1.1%
16470 1
1.1%
15002 1
1.1%
12893 1
1.1%
12404 1
1.1%

217
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5376.51087
Minimum0
Maximum20401
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:32.187334image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11581
median3674
Q38138.25
95-th percentile14753.25
Maximum20401
Range20401
Interquartile range (IQR)6557.25

Descriptive statistics

Standard deviation5077.396823
Coefficient of variation (CV)0.9443665131
Kurtosis0.4538244748
Mean5376.51087
Median Absolute Deviation (MAD)3207.5
Skewness1.060319888
Sum494639
Variance25779958.49
MonotonicityNot monotonic
2022-12-08T10:52:32.349930image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2985 1
 
1.1%
1335 1
 
1.1%
3186 1
 
1.1%
1634 1
 
1.1%
10319 1
 
1.1%
3883 1
 
1.1%
2437 1
 
1.1%
1096 1
 
1.1%
2251 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
5 1
 
1.1%
37 1
 
1.1%
39 1
 
1.1%
141 1
 
1.1%
ValueCountFrequency (%)
20401 1
1.1%
19488 1
1.1%
19375 1
1.1%
16313 1
1.1%
15031 1
1.1%

218
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5485.815217
Minimum0
Maximum21320
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:32.507022image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11315.75
median3373.5
Q39037.5
95-th percentile15589.05
Maximum21320
Range21320
Interquartile range (IQR)7721.75

Descriptive statistics

Standard deviation5343.69455
Coefficient of variation (CV)0.9740930634
Kurtosis0.2852598944
Mean5485.815217
Median Absolute Deviation (MAD)3097.5
Skewness1.051152491
Sum504695
Variance28555071.45
MonotonicityNot monotonic
2022-12-08T10:52:32.632201image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2620 1
 
1.1%
1326 1
 
1.1%
3851 1
 
1.1%
1957 1
 
1.1%
9504 1
 
1.1%
4418 1
 
1.1%
1549 1
 
1.1%
951 1
 
1.1%
2841 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
5 1
 
1.1%
76 1
 
1.1%
141 1
 
1.1%
ValueCountFrequency (%)
21320 1
1.1%
20383 1
1.1%
18716 1
1.1%
16969 1
1.1%
16100 1
1.1%

219
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6078.51087
Minimum0
Maximum21295
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:32.764877image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q11820.25
median4135
Q39709.5
95-th percentile17215.65
Maximum21295
Range21295
Interquartile range (IQR)7889.25

Descriptive statistics

Standard deviation5597.000748
Coefficient of variation (CV)0.9207848547
Kurtosis-0.06083252665
Mean6078.51087
Median Absolute Deviation (MAD)3490.5
Skewness0.9169636926
Sum559223
Variance31326417.37
MonotonicityNot monotonic
2022-12-08T10:52:32.893048image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 2
 
2.2%
0 2
 
2.2%
2480 2
 
2.2%
2832 1
 
1.1%
1668 1
 
1.1%
2151 1
 
1.1%
9626 1
 
1.1%
5884 1
 
1.1%
1871 1
 
1.1%
1444 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 2
2.2%
4 1
1.1%
8 1
1.1%
28 2
2.2%
49 1
1.1%
ValueCountFrequency (%)
21295 1
1.1%
20781 1
1.1%
19341 1
1.1%
18168 1
1.1%
17357 1
1.1%

220
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4554.597826
Minimum0
Maximum19244
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:33.028062image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11062.5
median2998
Q37395
95-th percentile11892.1
Maximum19244
Range19244
Interquartile range (IQR)6332.5

Descriptive statistics

Standard deviation4416.98237
Coefficient of variation (CV)0.969785377
Kurtosis0.8784117684
Mean4554.597826
Median Absolute Deviation (MAD)2731
Skewness1.135546058
Sum419023
Variance19509733.25
MonotonicityNot monotonic
2022-12-08T10:52:33.161742image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2289 1
 
1.1%
1913 1
 
1.1%
3528 1
 
1.1%
1401 1
 
1.1%
7794 1
 
1.1%
3698 1
 
1.1%
1090 1
 
1.1%
966 1
 
1.1%
3296 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
19 1
 
1.1%
27 1
 
1.1%
79 1
 
1.1%
ValueCountFrequency (%)
19244 1
1.1%
17975 1
1.1%
15860 1
1.1%
12705 1
1.1%
12012 1
1.1%

221
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5013.75
Minimum0
Maximum22283
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:33.325853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11400
median3314
Q37919.25
95-th percentile13869.6
Maximum22283
Range22283
Interquartile range (IQR)6519.25

Descriptive statistics

Standard deviation4879.02317
Coefficient of variation (CV)0.9731285305
Kurtosis1.513585432
Mean5013.75
Median Absolute Deviation (MAD)2960
Skewness1.286747493
Sum461265
Variance23804867.09
MonotonicityNot monotonic
2022-12-08T10:52:33.451544image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 2
 
2.2%
1783 2
 
2.2%
2613 1
 
1.1%
7746 1
 
1.1%
3723 1
 
1.1%
2492 1
 
1.1%
8344 1
 
1.1%
4005 1
 
1.1%
1717 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
42 1
 
1.1%
52 1
 
1.1%
79 1
 
1.1%
ValueCountFrequency (%)
22283 1
1.1%
20212 1
1.1%
17780 1
1.1%
14979 1
1.1%
14875 1
1.1%

222
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4927.195652
Minimum0
Maximum17562
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:33.592681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.2
Q11309
median3142.5
Q37852.75
95-th percentile13484.65
Maximum17562
Range17562
Interquartile range (IQR)6543.75

Descriptive statistics

Standard deviation4636.732255
Coefficient of variation (CV)0.9410489419
Kurtosis-0.2464030277
Mean4927.195652
Median Absolute Deviation (MAD)2728
Skewness0.9120805936
Sum453302
Variance21499286.01
MonotonicityNot monotonic
2022-12-08T10:52:33.715658image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
3188 2
 
2.2%
2748 1
 
1.1%
11340 1
 
1.1%
1612 1
 
1.1%
7520 1
 
1.1%
3946 1
 
1.1%
1478 1
 
1.1%
1184 1
 
1.1%
2532 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
5 1
 
1.1%
9 1
 
1.1%
13 1
 
1.1%
67 1
 
1.1%
ValueCountFrequency (%)
17562 1
1.1%
16367 1
1.1%
16080 1
1.1%
14428 1
1.1%
13736 1
1.1%

223
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4361.869565
Minimum0
Maximum16713
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:33.860306image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q11249.75
median2892.5
Q36749.25
95-th percentile11880
Maximum16713
Range16713
Interquartile range (IQR)5499.5

Descriptive statistics

Standard deviation4107.039936
Coefficient of variation (CV)0.9415778888
Kurtosis0.2657747341
Mean4361.869565
Median Absolute Deviation (MAD)2444.5
Skewness1.016275689
Sum401292
Variance16867777.04
MonotonicityNot monotonic
2022-12-08T10:52:34.009422image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
6310 2
 
2.2%
2 2
 
2.2%
1867 1
 
1.1%
1116 1
 
1.1%
3641 1
 
1.1%
2565 1
 
1.1%
1575 1
 
1.1%
6591 1
 
1.1%
3556 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
2 2
2.2%
5 1
 
1.1%
8 1
 
1.1%
86 1
 
1.1%
ValueCountFrequency (%)
16713 1
1.1%
15786 1
1.1%
14130 1
1.1%
12902 1
1.1%
12463 1
1.1%

224
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4304.98913
Minimum0
Maximum17545
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:34.161052image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.4
Q11053.75
median2803.5
Q36462.5
95-th percentile12839.9
Maximum17545
Range17545
Interquartile range (IQR)5408.75

Descriptive statistics

Standard deviation4233.274291
Coefficient of variation (CV)0.9833414586
Kurtosis0.5148384563
Mean4304.98913
Median Absolute Deviation (MAD)2481
Skewness1.126375907
Sum396059
Variance17920611.22
MonotonicityNot monotonic
2022-12-08T10:52:34.332111image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1800 1
 
1.1%
1099 1
 
1.1%
2341 1
 
1.1%
918 1
 
1.1%
5249 1
 
1.1%
3580 1
 
1.1%
1137 1
 
1.1%
758 1
 
1.1%
2076 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
8 1
 
1.1%
14 1
 
1.1%
34 1
 
1.1%
74 1
 
1.1%
ValueCountFrequency (%)
17545 1
1.1%
15529 1
1.1%
14342 1
1.1%
14203 1
1.1%
13050 1
1.1%

225
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4564.978261
Minimum0
Maximum18709
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:34.500692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11223.5
median2905
Q38024
95-th percentile13223.7
Maximum18709
Range18709
Interquartile range (IQR)6800.5

Descriptive statistics

Standard deviation4445.311438
Coefficient of variation (CV)0.9737858942
Kurtosis0.3281606555
Mean4564.978261
Median Absolute Deviation (MAD)2601.5
Skewness1.039831317
Sum419978
Variance19760793.78
MonotonicityNot monotonic
2022-12-08T10:52:34.715150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
373 2
 
2.2%
1822 1
 
1.1%
7962 1
 
1.1%
3051 1
 
1.1%
2512 1
 
1.1%
1354 1
 
1.1%
8322 1
 
1.1%
4031 1
 
1.1%
1365 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
49 1
 
1.1%
86 1
 
1.1%
133 1
 
1.1%
ValueCountFrequency (%)
18709 1
1.1%
16476 1
1.1%
14497 1
1.1%
13510 1
1.1%
13249 1
1.1%

226
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3958.184783
Minimum0
Maximum15912
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:34.908675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.65
Q11255
median2816.5
Q36200.75
95-th percentile10640.95
Maximum15912
Range15912
Interquartile range (IQR)4945.75

Descriptive statistics

Standard deviation3649.99203
Coefficient of variation (CV)0.9221378564
Kurtosis0.4800047241
Mean3958.184783
Median Absolute Deviation (MAD)2129.5
Skewness1.050941111
Sum364153
Variance13322441.82
MonotonicityNot monotonic
2022-12-08T10:52:35.067293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1425 1
 
1.1%
8448 1
 
1.1%
2720 1
 
1.1%
1765 1
 
1.1%
7144 1
 
1.1%
4919 1
 
1.1%
1269 1
 
1.1%
1134 1
 
1.1%
3047 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
5 1
 
1.1%
11 1
 
1.1%
19 1
 
1.1%
ValueCountFrequency (%)
15912 1
1.1%
13391 1
1.1%
12347 1
1.1%
11984 1
1.1%
11032 1
1.1%

227
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4666.152174
Minimum0
Maximum18211
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:35.235361image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11356.5
median2981.5
Q37571.75
95-th percentile12632.65
Maximum18211
Range18211
Interquartile range (IQR)6215.25

Descriptive statistics

Standard deviation4385.233483
Coefficient of variation (CV)0.9397965004
Kurtosis0.2877528244
Mean4666.152174
Median Absolute Deviation (MAD)2708.5
Skewness1.003404582
Sum429286
Variance19230272.7
MonotonicityNot monotonic
2022-12-08T10:52:35.372024image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2210 2
 
2.2%
1982 1
 
1.1%
9662 1
 
1.1%
1440 1
 
1.1%
8141 1
 
1.1%
3969 1
 
1.1%
1522 1
 
1.1%
1052 1
 
1.1%
1907 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
22 1
 
1.1%
29 1
 
1.1%
87 1
 
1.1%
138 1
 
1.1%
ValueCountFrequency (%)
18211 1
1.1%
17167 1
1.1%
14672 1
1.1%
13250 1
1.1%
12818 1
1.1%

228
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5718.73913
Minimum0
Maximum23009
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:35.531116image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.2
Q11634.5
median3815.5
Q39499
95-th percentile14989.65
Maximum23009
Range23009
Interquartile range (IQR)7864.5

Descriptive statistics

Standard deviation5304.981824
Coefficient of variation (CV)0.927648858
Kurtosis0.2196169208
Mean5718.73913
Median Absolute Deviation (MAD)3132.5
Skewness0.975248934
Sum526124
Variance28142832.15
MonotonicityNot monotonic
2022-12-08T10:52:35.667804image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2650 2
 
2.2%
1802 1
 
1.1%
3518 1
 
1.1%
1832 1
 
1.1%
10539 1
 
1.1%
5827 1
 
1.1%
1693 1
 
1.1%
1040 1
 
1.1%
3661 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
7 1
 
1.1%
11 1
 
1.1%
42 1
 
1.1%
45 1
 
1.1%
ValueCountFrequency (%)
23009 1
1.1%
18868 1
1.1%
17413 1
1.1%
16348 1
1.1%
15406 1
1.1%

229
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5053.141304
Minimum0
Maximum18942
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:35.821904image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11424.5
median3233
Q38082.25
95-th percentile13434.2
Maximum18942
Range18942
Interquartile range (IQR)6657.75

Descriptive statistics

Standard deviation4773.313979
Coefficient of variation (CV)0.9446230951
Kurtosis0.3294877596
Mean5053.141304
Median Absolute Deviation (MAD)2844.5
Skewness1.037582002
Sum464889
Variance22784526.34
MonotonicityNot monotonic
2022-12-08T10:52:35.964556image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2629 1
 
1.1%
1757 1
 
1.1%
3212 1
 
1.1%
1807 1
 
1.1%
8760 1
 
1.1%
4065 1
 
1.1%
1793 1
 
1.1%
1033 1
 
1.1%
4157 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
63 1
 
1.1%
200 1
 
1.1%
215 1
 
1.1%
ValueCountFrequency (%)
18942 1
1.1%
18773 1
1.1%
17731 1
1.1%
14268 1
1.1%
13674 1
1.1%

230
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5138.380435
Minimum0
Maximum19258
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:36.118662image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.2
Q11214.5
median3586
Q38629.25
95-th percentile15388.15
Maximum19258
Range19258
Interquartile range (IQR)7414.75

Descriptive statistics

Standard deviation4953.585616
Coefficient of variation (CV)0.9640363689
Kurtosis-0.03225189879
Mean5138.380435
Median Absolute Deviation (MAD)3015.5
Skewness0.9791071977
Sum472731
Variance24538010.46
MonotonicityNot monotonic
2022-12-08T10:52:36.275278image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2042 1
 
1.1%
1605 1
 
1.1%
1810 1
 
1.1%
1265 1
 
1.1%
8882 1
 
1.1%
4512 1
 
1.1%
1968 1
 
1.1%
959 1
 
1.1%
2127 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
24 1
 
1.1%
110 1
 
1.1%
126 1
 
1.1%
127 1
 
1.1%
ValueCountFrequency (%)
19258 1
1.1%
17210 1
1.1%
16907 1
1.1%
15698 1
1.1%
15667 1
1.1%

231
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4477.23913
Minimum0
Maximum17481
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:36.426391image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.85
Q11126.5
median2779.5
Q36915.5
95-th percentile13121.9
Maximum17481
Range17481
Interquartile range (IQR)5789

Descriptive statistics

Standard deviation4334.189287
Coefficient of variation (CV)0.9680495415
Kurtosis0.5123501766
Mean4477.23913
Median Absolute Deviation (MAD)2563
Skewness1.103450701
Sum411906
Variance18785196.78
MonotonicityNot monotonic
2022-12-08T10:52:36.582025image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
2029 1
 
1.1%
2402 1
 
1.1%
3666 1
 
1.1%
1135 1
 
1.1%
6974 1
 
1.1%
3888 1
 
1.1%
1632 1
 
1.1%
879 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
28 1
 
1.1%
39 1
 
1.1%
67 1
 
1.1%
ValueCountFrequency (%)
17481 1
1.1%
16857 1
1.1%
14725 1
1.1%
14493 1
1.1%
14025 1
1.1%

232
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5434.206522
Minimum0
Maximum22083
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:36.731142image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.55
Q11788
median3532.5
Q38453
95-th percentile14971.85
Maximum22083
Range22083
Interquartile range (IQR)6665

Descriptive statistics

Standard deviation5038.957078
Coefficient of variation (CV)0.9272663925
Kurtosis0.4350366262
Mean5434.206522
Median Absolute Deviation (MAD)3236
Skewness1.03035939
Sum499947
Variance25391088.43
MonotonicityNot monotonic
2022-12-08T10:52:36.862827image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2537 1
 
1.1%
11144 1
 
1.1%
3554 1
 
1.1%
1919 1
 
1.1%
10675 1
 
1.1%
5369 1
 
1.1%
2407 1
 
1.1%
1412 1
 
1.1%
3630 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
6 1
 
1.1%
7 1
 
1.1%
45 1
 
1.1%
46 1
 
1.1%
ValueCountFrequency (%)
22083 1
1.1%
18517 1
1.1%
16196 1
1.1%
15552 1
1.1%
15023 1
1.1%

233
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4624.945652
Minimum0
Maximum20746
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:37.004963image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11333
median2911.5
Q36997.5
95-th percentile13223.4
Maximum20746
Range20746
Interquartile range (IQR)5664.5

Descriptive statistics

Standard deviation4518.543659
Coefficient of variation (CV)0.9769938933
Kurtosis1.076708932
Mean4624.945652
Median Absolute Deviation (MAD)2640
Skewness1.212102573
Sum425495
Variance20417236.8
MonotonicityNot monotonic
2022-12-08T10:52:37.181529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2301 2
 
2.2%
2309 1
 
1.1%
2280 1
 
1.1%
2974 1
 
1.1%
9177 1
 
1.1%
2649 1
 
1.1%
1297 1
 
1.1%
1345 1
 
1.1%
3528 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
25 1
 
1.1%
39 1
 
1.1%
40 1
 
1.1%
ValueCountFrequency (%)
20746 1
1.1%
16971 1
1.1%
15177 1
1.1%
14034 1
1.1%
13593 1
1.1%

234
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4608.728261
Minimum0
Maximum17404
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:37.339620image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.85
Q11214.25
median3014.5
Q36961.75
95-th percentile12401.45
Maximum17404
Range17404
Interquartile range (IQR)5747.5

Descriptive statistics

Standard deviation4276.834523
Coefficient of variation (CV)0.9279858307
Kurtosis-0.1169620147
Mean4608.728261
Median Absolute Deviation (MAD)2755.5
Skewness0.8924339386
Sum424003
Variance18291313.54
MonotonicityNot monotonic
2022-12-08T10:52:37.482268image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2422 1
 
1.1%
9898 1
 
1.1%
3002 1
 
1.1%
1939 1
 
1.1%
10661 1
 
1.1%
3882 1
 
1.1%
1980 1
 
1.1%
1140 1
 
1.1%
1645 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
8 1
 
1.1%
15 1
 
1.1%
22 1
 
1.1%
ValueCountFrequency (%)
17404 1
1.1%
15338 1
1.1%
13139 1
1.1%
12555 1
1.1%
12523 1
1.1%

235
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5286.065217
Minimum0
Maximum20416
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:37.655836image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11297.25
median3323
Q38551
95-th percentile14403.8
Maximum20416
Range20416
Interquartile range (IQR)7253.75

Descriptive statistics

Standard deviation4992.432244
Coefficient of variation (CV)0.9444515038
Kurtosis-0.009181599939
Mean5286.065217
Median Absolute Deviation (MAD)2963
Skewness0.9615656608
Sum486318
Variance24924379.71
MonotonicityNot monotonic
2022-12-08T10:52:37.796976image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2489 1
 
1.1%
2353 1
 
1.1%
4319 1
 
1.1%
1904 1
 
1.1%
10126 1
 
1.1%
4697 1
 
1.1%
1981 1
 
1.1%
1300 1
 
1.1%
3075 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
23 1
 
1.1%
48 1
 
1.1%
96 1
 
1.1%
171 1
 
1.1%
ValueCountFrequency (%)
20416 1
1.1%
17125 1
1.1%
16904 1
1.1%
15716 1
1.1%
14890 1
1.1%

236
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5320.380435
Minimum0
Maximum20996
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:37.968554image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11480.25
median3398.5
Q38720.5
95-th percentile13233.05
Maximum20996
Range20996
Interquartile range (IQR)7240.25

Descriptive statistics

Standard deviation5023.501329
Coefficient of variation (CV)0.9441996471
Kurtosis0.2295903854
Mean5320.380435
Median Absolute Deviation (MAD)3033
Skewness0.9929689917
Sum489475
Variance25235565.6
MonotonicityNot monotonic
2022-12-08T10:52:38.154092image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2533 1
 
1.1%
1273 1
 
1.1%
3508 1
 
1.1%
1863 1
 
1.1%
7971 1
 
1.1%
5742 1
 
1.1%
1938 1
 
1.1%
1223 1
 
1.1%
2591 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
7 1
 
1.1%
13 1
 
1.1%
74 1
 
1.1%
83 1
 
1.1%
ValueCountFrequency (%)
20996 1
1.1%
19522 1
1.1%
16621 1
1.1%
15331 1
1.1%
13557 1
1.1%

237
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5028.380435
Minimum0
Maximum18761
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:38.331136image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11458.5
median2977.5
Q37699.5
95-th percentile14221.25
Maximum18761
Range18761
Interquartile range (IQR)6241

Descriptive statistics

Standard deviation4842.718696
Coefficient of variation (CV)0.9630772291
Kurtosis-0.153454152
Mean5028.380435
Median Absolute Deviation (MAD)2742.5
Skewness0.971552306
Sum462611
Variance23451924.37
MonotonicityNot monotonic
2022-12-08T10:52:38.495734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2234 1
 
1.1%
2055 1
 
1.1%
2845 1
 
1.1%
1679 1
 
1.1%
9766 1
 
1.1%
4068 1
 
1.1%
1589 1
 
1.1%
1013 1
 
1.1%
2846 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
11 1
 
1.1%
13 1
 
1.1%
59 1
 
1.1%
173 1
 
1.1%
ValueCountFrequency (%)
18761 1
1.1%
16808 1
1.1%
15348 1
1.1%
14767 1
1.1%
14455 1
1.1%

238
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5260.467391
Minimum0
Maximum21315
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:38.687422image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11538
median3181
Q39160.75
95-th percentile14307.25
Maximum21315
Range21315
Interquartile range (IQR)7622.75

Descriptive statistics

Standard deviation4881.688468
Coefficient of variation (CV)0.927995196
Kurtosis0.2099676726
Mean5260.467391
Median Absolute Deviation (MAD)2816.5
Skewness0.9714885896
Sum483963
Variance23830882.3
MonotonicityNot monotonic
2022-12-08T10:52:38.844173image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2608 1
 
1.1%
2507 1
 
1.1%
4172 1
 
1.1%
2211 1
 
1.1%
9377 1
 
1.1%
3135 1
 
1.1%
1716 1
 
1.1%
1401 1
 
1.1%
4309 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
15 1
 
1.1%
37 1
 
1.1%
73 1
 
1.1%
ValueCountFrequency (%)
21315 1
1.1%
16931 1
1.1%
15861 1
1.1%
15097 1
1.1%
14442 1
1.1%

239
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5195.391304
Minimum0
Maximum23002
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:38.995800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11278.75
median3246.5
Q38112.75
95-th percentile14592.85
Maximum23002
Range23002
Interquartile range (IQR)6834

Descriptive statistics

Standard deviation5022.833811
Coefficient of variation (CV)0.9667864299
Kurtosis0.7722270792
Mean5195.391304
Median Absolute Deviation (MAD)2878.5
Skewness1.129574424
Sum477976
Variance25228859.49
MonotonicityNot monotonic
2022-12-08T10:52:39.150237image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
2508 1
 
1.1%
1841 1
 
1.1%
3713 1
 
1.1%
1763 1
 
1.1%
9647 1
 
1.1%
4391 1
 
1.1%
2116 1
 
1.1%
1266 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
2 1
 
1.1%
29 1
 
1.1%
89 1
 
1.1%
ValueCountFrequency (%)
23002 1
1.1%
17774 1
1.1%
16528 1
1.1%
14701 1
1.1%
14644 1
1.1%

240
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3758.195652
Minimum0
Maximum16267
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:39.302357image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q1861.5
median2410
Q36641
95-th percentile9943.85
Maximum16267
Range16267
Interquartile range (IQR)5779.5

Descriptive statistics

Standard deviation3605.155893
Coefficient of variation (CV)0.959278395
Kurtosis0.2870319658
Mean3758.195652
Median Absolute Deviation (MAD)2234
Skewness0.9612583874
Sum345754
Variance12997149.02
MonotonicityNot monotonic
2022-12-08T10:52:39.467401image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1657 1
 
1.1%
401 1
 
1.1%
1899 1
 
1.1%
1237 1
 
1.1%
8059 1
 
1.1%
2892 1
 
1.1%
1166 1
 
1.1%
587 1
 
1.1%
864 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
23 1
 
1.1%
26 1
 
1.1%
57 1
 
1.1%
ValueCountFrequency (%)
16267 1
1.1%
11543 1
1.1%
11369 1
1.1%
10882 1
1.1%
10303 1
1.1%

241
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5570.902174
Minimum0
Maximum19192
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:39.660534image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q11750
median3864.5
Q38801
95-th percentile14049.7
Maximum19192
Range19192
Interquartile range (IQR)7051

Descriptive statistics

Standard deviation5027.73573
Coefficient of variation (CV)0.902499375
Kurtosis-0.2758366038
Mean5570.902174
Median Absolute Deviation (MAD)3132.5
Skewness0.8732308069
Sum512523
Variance25278126.57
MonotonicityNot monotonic
2022-12-08T10:52:39.803663image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3007 1
 
1.1%
12368 1
 
1.1%
3275 1
 
1.1%
1895 1
 
1.1%
8628 1
 
1.1%
4214 1
 
1.1%
1540 1
 
1.1%
1189 1
 
1.1%
4048 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
5 1
 
1.1%
16 1
 
1.1%
30 1
 
1.1%
ValueCountFrequency (%)
19192 1
1.1%
18463 1
1.1%
17945 1
1.1%
14197 1
1.1%
14097 1
1.1%

242
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4994.75
Minimum0
Maximum16137
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:39.993183image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11482
median3466.5
Q38300.25
95-th percentile13197.1
Maximum16137
Range16137
Interquartile range (IQR)6818.25

Descriptive statistics

Standard deviation4397.001942
Coefficient of variation (CV)0.8803247294
Kurtosis-0.5025952604
Mean4994.75
Median Absolute Deviation (MAD)2864
Skewness0.7899764422
Sum459517
Variance19333626.08
MonotonicityNot monotonic
2022-12-08T10:52:40.146286image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2072 1
 
1.1%
1936 1
 
1.1%
3330 1
 
1.1%
1875 1
 
1.1%
8568 1
 
1.1%
3373 1
 
1.1%
1416 1
 
1.1%
1272 1
 
1.1%
2691 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
144 1
 
1.1%
196 1
 
1.1%
292 1
 
1.1%
ValueCountFrequency (%)
16137 1
1.1%
15127 1
1.1%
14479 1
1.1%
14321 1
1.1%
13955 1
1.1%

243
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4817.478261
Minimum0
Maximum19130
Zeros7
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:40.307534image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11644.5
median3098.5
Q37751
95-th percentile13451.05
Maximum19130
Range19130
Interquartile range (IQR)6106.5

Descriptive statistics

Standard deviation4481.114668
Coefficient of variation (CV)0.9301784929
Kurtosis0.4169337202
Mean4817.478261
Median Absolute Deviation (MAD)2682.5
Skewness1.055596033
Sum443208
Variance20080388.67
MonotonicityNot monotonic
2022-12-08T10:52:40.454168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
7.6%
3147 2
 
2.2%
2741 1
 
1.1%
2506 1
 
1.1%
1749 1
 
1.1%
8144 1
 
1.1%
4753 1
 
1.1%
1652 1
 
1.1%
1080 1
 
1.1%
3176 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 7
7.6%
6 1
 
1.1%
69 1
 
1.1%
135 1
 
1.1%
161 1
 
1.1%
ValueCountFrequency (%)
19130 1
1.1%
15852 1
1.1%
15547 1
1.1%
15461 1
1.1%
13984 1
1.1%

244
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5741.98913
Minimum0
Maximum23288
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:40.601281image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45.35
Q11712
median3706.5
Q38796
95-th percentile14487.15
Maximum23288
Range23288
Interquartile range (IQR)7084

Descriptive statistics

Standard deviation5323.10582
Coefficient of variation (CV)0.9270490938
Kurtosis1.140733849
Mean5741.98913
Median Absolute Deviation (MAD)3215
Skewness1.192965711
Sum528263
Variance28335455.57
MonotonicityNot monotonic
2022-12-08T10:52:40.810746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2842 1
 
1.1%
10156 1
 
1.1%
3548 1
 
1.1%
2577 1
 
1.1%
7746 1
 
1.1%
5324 1
 
1.1%
1714 1
 
1.1%
1295 1
 
1.1%
1578 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
25 1
 
1.1%
62 1
 
1.1%
84 1
 
1.1%
ValueCountFrequency (%)
23288 1
1.1%
21899 1
1.1%
21131 1
1.1%
15794 1
1.1%
14777 1
1.1%

245
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5292.23913
Minimum0
Maximum18982
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:41.034173image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11498.25
median3286
Q38922.5
95-th percentile15123.85
Maximum18982
Range18982
Interquartile range (IQR)7424.25

Descriptive statistics

Standard deviation5043.376181
Coefficient of variation (CV)0.9529758684
Kurtosis-0.04182688836
Mean5292.23913
Median Absolute Deviation (MAD)2947
Skewness0.9717513115
Sum486886
Variance25435643.3
MonotonicityNot monotonic
2022-12-08T10:52:41.226682image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2972 1
 
1.1%
11129 1
 
1.1%
3097 1
 
1.1%
1698 1
 
1.1%
8681 1
 
1.1%
4833 1
 
1.1%
1916 1
 
1.1%
1110 1
 
1.1%
2376 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
49 1
 
1.1%
71 1
 
1.1%
ValueCountFrequency (%)
18982 1
1.1%
18594 1
1.1%
17629 1
1.1%
15320 1
1.1%
15153 1
1.1%

246
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4786.076087
Minimum0
Maximum17159
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:41.407224image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile61.75
Q11109.75
median3171.5
Q37682
95-th percentile13741.85
Maximum17159
Range17159
Interquartile range (IQR)6572.25

Descriptive statistics

Standard deviation4459.351671
Coefficient of variation (CV)0.9317343874
Kurtosis-0.1521086586
Mean4786.076087
Median Absolute Deviation (MAD)2793
Skewness0.8914416194
Sum440319
Variance19885817.32
MonotonicityNot monotonic
2022-12-08T10:52:41.550355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2077 1
 
1.1%
9461 1
 
1.1%
2443 1
 
1.1%
1067 1
 
1.1%
6965 1
 
1.1%
4071 1
 
1.1%
1580 1
 
1.1%
852 1
 
1.1%
1866 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
109 1
 
1.1%
177 1
 
1.1%
199 1
 
1.1%
ValueCountFrequency (%)
17159 1
1.1%
16311 1
1.1%
14242 1
1.1%
14177 1
1.1%
13980 1
1.1%

247
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4941.978261
Minimum0
Maximum18706
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:41.711946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.25
Q11325.75
median3189.5
Q38294.25
95-th percentile13379.3
Maximum18706
Range18706
Interquartile range (IQR)6968.5

Descriptive statistics

Standard deviation4628.758443
Coefficient of variation (CV)0.9366205594
Kurtosis0.1403086685
Mean4941.978261
Median Absolute Deviation (MAD)2742
Skewness0.9704190648
Sum454662
Variance21425404.72
MonotonicityNot monotonic
2022-12-08T10:52:41.885504image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2485 1
 
1.1%
1958 1
 
1.1%
3566 1
 
1.1%
1329 1
 
1.1%
9701 1
 
1.1%
4489 1
 
1.1%
1316 1
 
1.1%
992 1
 
1.1%
1698 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
35 1
 
1.1%
47 1
 
1.1%
124 1
 
1.1%
271 1
 
1.1%
ValueCountFrequency (%)
18706 1
1.1%
18572 1
1.1%
14651 1
1.1%
13779 1
1.1%
13420 1
1.1%

248
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4855.184783
Minimum0
Maximum18121
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:42.028634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.65
Q11094.25
median3087.5
Q37931
95-th percentile13918
Maximum18121
Range18121
Interquartile range (IQR)6836.75

Descriptive statistics

Standard deviation4665.12074
Coefficient of variation (CV)0.9608533863
Kurtosis0.2522890326
Mean4855.184783
Median Absolute Deviation (MAD)2686.5
Skewness1.029219867
Sum446677
Variance21763351.51
MonotonicityNot monotonic
2022-12-08T10:52:42.167285image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2083 1
 
1.1%
854 1
 
1.1%
2833 1
 
1.1%
1685 1
 
1.1%
8989 1
 
1.1%
4471 1
 
1.1%
1445 1
 
1.1%
1083 1
 
1.1%
1728 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
23 1
 
1.1%
38 1
 
1.1%
49 1
 
1.1%
54 1
 
1.1%
ValueCountFrequency (%)
18121 1
1.1%
17765 1
1.1%
16819 1
1.1%
15027 1
1.1%
13973 1
1.1%

249
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4293.5
Minimum0
Maximum15797
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:42.306423image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.35
Q11283.5
median2642
Q37093
95-th percentile11503.75
Maximum15797
Range15797
Interquartile range (IQR)5809.5

Descriptive statistics

Standard deviation4061.043466
Coefficient of variation (CV)0.9458584991
Kurtosis0.05314723111
Mean4293.5
Median Absolute Deviation (MAD)2368
Skewness0.9698593277
Sum395002
Variance16492074.03
MonotonicityNot monotonic
2022-12-08T10:52:42.438582image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2534 2
 
2.2%
2554 1
 
1.1%
1365 1
 
1.1%
1813 1
 
1.1%
1339 1
 
1.1%
6860 1
 
1.1%
2829 1
 
1.1%
1517 1
 
1.1%
897 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
17 1
 
1.1%
34 1
 
1.1%
41 1
 
1.1%
66 1
 
1.1%
ValueCountFrequency (%)
15797 1
1.1%
15701 1
1.1%
14394 1
1.1%
11661 1
1.1%
11600 1
1.1%

250
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4871.880435
Minimum0
Maximum18763
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:42.586207image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11513.5
median3091
Q37614.75
95-th percentile13185.55
Maximum18763
Range18763
Interquartile range (IQR)6101.25

Descriptive statistics

Standard deviation4673.855184
Coefficient of variation (CV)0.9593534256
Kurtosis0.207623615
Mean4871.880435
Median Absolute Deviation (MAD)2830.5
Skewness1.019589894
Sum448213
Variance21844922.28
MonotonicityNot monotonic
2022-12-08T10:52:42.707009image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
27 2
 
2.2%
1771 2
 
2.2%
2150 1
 
1.1%
1363 1
 
1.1%
1853 1
 
1.1%
9139 1
 
1.1%
3267 1
 
1.1%
1503 1
 
1.1%
845 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 6
6.5%
5 1
 
1.1%
27 2
 
2.2%
99 1
 
1.1%
132 1
 
1.1%
ValueCountFrequency (%)
18763 1
1.1%
17724 1
1.1%
16251 1
1.1%
14729 1
1.1%
14208 1
1.1%

251
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5021.054348
Minimum0
Maximum21150
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:42.860620image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.85
Q11409
median3291
Q38398
95-th percentile13646.1
Maximum21150
Range21150
Interquartile range (IQR)6989

Descriptive statistics

Standard deviation4759.346599
Coefficient of variation (CV)0.9478779295
Kurtosis1.06747917
Mean5021.054348
Median Absolute Deviation (MAD)2841
Skewness1.165040754
Sum461937
Variance22651380.05
MonotonicityNot monotonic
2022-12-08T10:52:43.002216image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
3055 2
 
2.2%
2394 1
 
1.1%
10391 1
 
1.1%
2201 1
 
1.1%
9175 1
 
1.1%
5751 1
 
1.1%
1516 1
 
1.1%
887 1
 
1.1%
2260 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
4 1
 
1.1%
11 1
 
1.1%
14 1
 
1.1%
ValueCountFrequency (%)
21150 1
1.1%
19736 1
1.1%
16874 1
1.1%
14461 1
1.1%
13843 1
1.1%

252
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5347.184783
Minimum0
Maximum22259
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:43.196736image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.25
Q11579.5
median3483
Q38358.5
95-th percentile14370.1
Maximum22259
Range22259
Interquartile range (IQR)6779

Descriptive statistics

Standard deviation5003.38964
Coefficient of variation (CV)0.9357053933
Kurtosis1.218671653
Mean5347.184783
Median Absolute Deviation (MAD)2866.5
Skewness1.209492421
Sum491941
Variance25033907.89
MonotonicityNot monotonic
2022-12-08T10:52:43.384274image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2385 1
 
1.1%
14037 1
 
1.1%
1375 1
 
1.1%
9209 1
 
1.1%
6220 1
 
1.1%
1282 1
 
1.1%
1257 1
 
1.1%
2677 1
 
1.1%
10247 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
3 1
1.1%
16 1
1.1%
51 1
1.1%
ValueCountFrequency (%)
22259 1
1.1%
21080 1
1.1%
17106 1
1.1%
16938 1
1.1%
14754 1
1.1%

253
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4057.26087
Minimum0
Maximum15342
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:43.538381image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q1936
median2327.5
Q36640.25
95-th percentile10915.6
Maximum15342
Range15342
Interquartile range (IQR)5704.25

Descriptive statistics

Standard deviation3927.665693
Coefficient of variation (CV)0.9680584561
Kurtosis0.06472059327
Mean4057.26087
Median Absolute Deviation (MAD)1912.5
Skewness0.9965259309
Sum373268
Variance15426557.8
MonotonicityNot monotonic
2022-12-08T10:52:43.696994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2193 2
 
2.2%
2334 1
 
1.1%
7748 1
 
1.1%
3733 1
 
1.1%
2000 1
 
1.1%
939 1
 
1.1%
6194 1
 
1.1%
2232 1
 
1.1%
927 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
5 1
 
1.1%
8 1
 
1.1%
55 1
 
1.1%
ValueCountFrequency (%)
15342 1
1.1%
14916 1
1.1%
13406 1
1.1%
12416 1
1.1%
11019 1
1.1%

254
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4250.336957
Minimum0
Maximum15912
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:43.842128image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.25
Q11047.5
median2773
Q36763.25
95-th percentile12285.35
Maximum15912
Range15912
Interquartile range (IQR)5715.75

Descriptive statistics

Standard deviation4035.965038
Coefficient of variation (CV)0.9495635473
Kurtosis-0.04717358697
Mean4250.336957
Median Absolute Deviation (MAD)2248
Skewness0.973768904
Sum391031
Variance16289013.79
MonotonicityNot monotonic
2022-12-08T10:52:44.004732image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1954 1
 
1.1%
9340 1
 
1.1%
2460 1
 
1.1%
1670 1
 
1.1%
6869 1
 
1.1%
4396 1
 
1.1%
1713 1
 
1.1%
902 1
 
1.1%
3293 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
17 1
 
1.1%
47 1
 
1.1%
ValueCountFrequency (%)
15912 1
1.1%
13526 1
1.1%
13353 1
1.1%
13304 1
1.1%
12540 1
1.1%

255
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5028.413043
Minimum0
Maximum21364
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:44.206228image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11302.25
median3196
Q38220.5
95-th percentile13614.1
Maximum21364
Range21364
Interquartile range (IQR)6918.25

Descriptive statistics

Standard deviation4909.528093
Coefficient of variation (CV)0.9763573617
Kurtosis0.4934982946
Mean5028.413043
Median Absolute Deviation (MAD)2877.5
Skewness1.071178153
Sum462614
Variance24103466.09
MonotonicityNot monotonic
2022-12-08T10:52:44.350361image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2555 1
 
1.1%
1303 1
 
1.1%
3226 1
 
1.1%
1506 1
 
1.1%
8738 1
 
1.1%
4102 1
 
1.1%
1799 1
 
1.1%
693 1
 
1.1%
2202 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
24 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
21364 1
1.1%
17507 1
1.1%
17457 1
1.1%
14221 1
1.1%
14075 1
1.1%

256
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5656.695652
Minimum0
Maximum20275
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:44.533906image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.2
Q11783
median3552
Q39800
95-th percentile15688.05
Maximum20275
Range20275
Interquartile range (IQR)8017

Descriptive statistics

Standard deviation5327.58289
Coefficient of variation (CV)0.9418189023
Kurtosis-0.1666806456
Mean5656.695652
Median Absolute Deviation (MAD)3251.5
Skewness0.9357403444
Sum520416
Variance28383139.44
MonotonicityNot monotonic
2022-12-08T10:52:44.720449image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2774 1
 
1.1%
11962 1
 
1.1%
2747 1
 
1.1%
1680 1
 
1.1%
9009 1
 
1.1%
4739 1
 
1.1%
1805 1
 
1.1%
1125 1
 
1.1%
3106 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
15 1
 
1.1%
39 1
 
1.1%
57 1
 
1.1%
87 1
 
1.1%
ValueCountFrequency (%)
20275 1
1.1%
18940 1
1.1%
18571 1
1.1%
16132 1
1.1%
15902 1
1.1%

257
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5383.706522
Minimum0
Maximum22166
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:44.901003image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.1
Q11602.75
median3413.5
Q38920.25
95-th percentile15083.2
Maximum22166
Range22166
Interquartile range (IQR)7317.5

Descriptive statistics

Standard deviation5214.365102
Coefficient of variation (CV)0.9685455701
Kurtosis0.2294313338
Mean5383.706522
Median Absolute Deviation (MAD)3015.5
Skewness1.043590681
Sum495301
Variance27189603.42
MonotonicityNot monotonic
2022-12-08T10:52:45.075579image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2835 1
 
1.1%
12279 1
 
1.1%
2849 1
 
1.1%
1631 1
 
1.1%
9218 1
 
1.1%
4016 1
 
1.1%
1542 1
 
1.1%
1167 1
 
1.1%
3070 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
5 1
 
1.1%
27 1
 
1.1%
36 1
 
1.1%
ValueCountFrequency (%)
22166 1
1.1%
18302 1
1.1%
16660 1
1.1%
16190 1
1.1%
15510 1
1.1%

258
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5514.815217
Minimum0
Maximum22330
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:45.261603image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q11639.5
median3244.5
Q39346.5
95-th percentile15649.45
Maximum22330
Range22330
Interquartile range (IQR)7707

Descriptive statistics

Standard deviation5324.379974
Coefficient of variation (CV)0.9654684272
Kurtosis0.5965751519
Mean5514.815217
Median Absolute Deviation (MAD)3010.5
Skewness1.110283394
Sum507363
Variance28349022.11
MonotonicityNot monotonic
2022-12-08T10:52:45.420214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2 2
 
2.2%
2286 1
 
1.1%
11073 1
 
1.1%
3178 1
 
1.1%
2454 1
 
1.1%
9390 1
 
1.1%
4513 1
 
1.1%
1850 1
 
1.1%
1599 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
2 2
2.2%
4 1
1.1%
76 1
1.1%
ValueCountFrequency (%)
22330 1
1.1%
20545 1
1.1%
19459 1
1.1%
16590 1
1.1%
16255 1
1.1%

259
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4575.152174
Minimum0
Maximum19113
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:45.571847image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11441
median2939
Q37527.75
95-th percentile12070.5
Maximum19113
Range19113
Interquartile range (IQR)6086.75

Descriptive statistics

Standard deviation4294.902432
Coefficient of variation (CV)0.9387452633
Kurtosis0.6173817652
Mean4575.152174
Median Absolute Deviation (MAD)2620
Skewness1.070373656
Sum420914
Variance18446186.9
MonotonicityNot monotonic
2022-12-08T10:52:45.732934image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1714 1
 
1.1%
1826 1
 
1.1%
3157 1
 
1.1%
1753 1
 
1.1%
7902 1
 
1.1%
3850 1
 
1.1%
1618 1
 
1.1%
989 1
 
1.1%
1994 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
50 1
 
1.1%
181 1
 
1.1%
182 1
 
1.1%
ValueCountFrequency (%)
19113 1
1.1%
16695 1
1.1%
13837 1
1.1%
12131 1
1.1%
12098 1
1.1%

260
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5031.652174
Minimum0
Maximum18739
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:45.918033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11505.75
median3325
Q38253.75
95-th percentile13823.35
Maximum18739
Range18739
Interquartile range (IQR)6748

Descriptive statistics

Standard deviation4625.130795
Coefficient of variation (CV)0.9192071778
Kurtosis0.01333042788
Mean5031.652174
Median Absolute Deviation (MAD)2719.5
Skewness0.9456388947
Sum462912
Variance21391834.87
MonotonicityNot monotonic
2022-12-08T10:52:46.075639image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3006 1
 
1.1%
3137 1
 
1.1%
3339 1
 
1.1%
1613 1
 
1.1%
8351 1
 
1.1%
5790 1
 
1.1%
2056 1
 
1.1%
1179 1
 
1.1%
3965 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
75 1
 
1.1%
95 1
 
1.1%
104 1
 
1.1%
ValueCountFrequency (%)
18739 1
1.1%
16131 1
1.1%
15753 1
1.1%
14758 1
1.1%
14430 1
1.1%

261
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5511.967391
Minimum0
Maximum22203
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:46.246694image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.55
Q11635.25
median3363.5
Q38696.75
95-th percentile15886
Maximum22203
Range22203
Interquartile range (IQR)7061.5

Descriptive statistics

Standard deviation5338.956832
Coefficient of variation (CV)0.9686118319
Kurtosis0.3959142814
Mean5511.967391
Median Absolute Deviation (MAD)2954
Skewness1.08699275
Sum507101
Variance28504460.05
MonotonicityNot monotonic
2022-12-08T10:52:46.375367image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2997 1
 
1.1%
11795 1
 
1.1%
3150 1
 
1.1%
1686 1
 
1.1%
9505 1
 
1.1%
3360 1
 
1.1%
1858 1
 
1.1%
1331 1
 
1.1%
3219 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
6 1
 
1.1%
7 1
 
1.1%
56 1
 
1.1%
63 1
 
1.1%
ValueCountFrequency (%)
22203 1
1.1%
20462 1
1.1%
17876 1
1.1%
16415 1
1.1%
16315 1
1.1%

262
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4336.478261
Minimum0
Maximum17601
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:46.514508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q1932
median2841.5
Q36834.25
95-th percentile13782.25
Maximum17601
Range17601
Interquartile range (IQR)5902.25

Descriptive statistics

Standard deviation4343.503034
Coefficient of variation (CV)1.001619926
Kurtosis0.935224784
Mean4336.478261
Median Absolute Deviation (MAD)2430
Skewness1.228584917
Sum398956
Variance18866018.6
MonotonicityNot monotonic
2022-12-08T10:52:46.674109image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
4 2
 
2.2%
2355 1
 
1.1%
3353 1
 
1.1%
1905 1
 
1.1%
1702 1
 
1.1%
1731 1
 
1.1%
7203 1
 
1.1%
3242 1
 
1.1%
1263 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
4 2
 
2.2%
30 1
 
1.1%
51 1
 
1.1%
66 1
 
1.1%
ValueCountFrequency (%)
17601 1
1.1%
16817 1
1.1%
16572 1
1.1%
14091 1
1.1%
13873 1
1.1%

263
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5123.684783
Minimum0
Maximum20353
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:46.833190image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.15
Q11518.25
median3179.5
Q38270.75
95-th percentile13375.45
Maximum20353
Range20353
Interquartile range (IQR)6752.5

Descriptive statistics

Standard deviation4892.91284
Coefficient of variation (CV)0.9549597698
Kurtosis0.4372864928
Mean5123.684783
Median Absolute Deviation (MAD)2866
Skewness1.060909211
Sum471379
Variance23940596.06
MonotonicityNot monotonic
2022-12-08T10:52:46.988792image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2076 1
 
1.1%
1973 1
 
1.1%
3123 1
 
1.1%
1930 1
 
1.1%
9358 1
 
1.1%
5171 1
 
1.1%
1561 1
 
1.1%
1065 1
 
1.1%
2624 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
33 1
 
1.1%
43 1
 
1.1%
184 1
 
1.1%
198 1
 
1.1%
ValueCountFrequency (%)
20353 1
1.1%
19693 1
1.1%
16622 1
1.1%
13747 1
1.1%
13420 1
1.1%

264
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4133.271739
Minimum0
Maximum15154
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:47.185290image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11220.75
median2763.5
Q36378.5
95-th percentile11997.95
Maximum15154
Range15154
Interquartile range (IQR)5157.75

Descriptive statistics

Standard deviation3888.773072
Coefficient of variation (CV)0.9408462151
Kurtosis0.4759294273
Mean4133.271739
Median Absolute Deviation (MAD)2072
Skewness1.095699887
Sum380261
Variance15122556
MonotonicityNot monotonic
2022-12-08T10:52:47.343377image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2150 1
 
1.1%
9985 1
 
1.1%
2991 1
 
1.1%
1699 1
 
1.1%
6143 1
 
1.1%
4511 1
 
1.1%
838 1
 
1.1%
786 1
 
1.1%
2560 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
4 1
 
1.1%
20 1
 
1.1%
ValueCountFrequency (%)
15154 1
1.1%
14798 1
1.1%
14600 1
1.1%
13577 1
1.1%
12356 1
1.1%

265
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4539.706522
Minimum0
Maximum18610
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:47.566811image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11293.75
median2944.5
Q37681.5
95-th percentile12246.05
Maximum18610
Range18610
Interquartile range (IQR)6387.75

Descriptive statistics

Standard deviation4286.438675
Coefficient of variation (CV)0.9442105244
Kurtosis0.4177826474
Mean4539.706522
Median Absolute Deviation (MAD)2580
Skewness1.02506339
Sum417653
Variance18373556.52
MonotonicityNot monotonic
2022-12-08T10:52:47.726405image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1 2
 
2.2%
2030 2
 
2.2%
2229 1
 
1.1%
7557 1
 
1.1%
2797 1
 
1.1%
2986 1
 
1.1%
1471 1
 
1.1%
8055 1
 
1.1%
2903 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
1 2
 
2.2%
17 1
 
1.1%
25 1
 
1.1%
79 1
 
1.1%
ValueCountFrequency (%)
18610 1
1.1%
15828 1
1.1%
14906 1
1.1%
12892 1
1.1%
12262 1
1.1%

266
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4149.413043
Minimum0
Maximum15005
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:47.887993image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q1896.25
median3293.5
Q36626.25
95-th percentile12102.65
Maximum15005
Range15005
Interquartile range (IQR)5730

Descriptive statistics

Standard deviation3850.212996
Coefficient of variation (CV)0.9278934046
Kurtosis-0.1882941676
Mean4149.413043
Median Absolute Deviation (MAD)2893.5
Skewness0.8397560306
Sum381746
Variance14824140.11
MonotonicityNot monotonic
2022-12-08T10:52:48.045083image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
35 2
 
2.2%
1324 1
 
1.1%
6439 1
 
1.1%
1392 1
 
1.1%
9397 1
 
1.1%
6556 1
 
1.1%
1630 1
 
1.1%
943 1
 
1.1%
1165 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
4 1
 
1.1%
23 1
 
1.1%
35 2
2.2%
ValueCountFrequency (%)
15005 1
1.1%
12820 1
1.1%
12284 1
1.1%
12252 1
1.1%
12244 1
1.1%

267
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5711.402174
Minimum0
Maximum21688
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:48.195713image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile87.25
Q11863.25
median3945
Q38856.75
95-th percentile15618.15
Maximum21688
Range21688
Interquartile range (IQR)6993.5

Descriptive statistics

Standard deviation5281.350173
Coefficient of variation (CV)0.9247029034
Kurtosis0.3047882207
Mean5711.402174
Median Absolute Deviation (MAD)3226.5
Skewness1.028594903
Sum525449
Variance27892659.65
MonotonicityNot monotonic
2022-12-08T10:52:48.362778image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
1 2
 
2.2%
131 2
 
2.2%
2398 1
 
1.1%
10610 1
 
1.1%
2050 1
 
1.1%
8617 1
 
1.1%
6027 1
 
1.1%
1931 1
 
1.1%
1396 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 2
2.2%
1 2
2.2%
79 1
1.1%
94 1
1.1%
101 1
1.1%
ValueCountFrequency (%)
21688 1
1.1%
19519 1
1.1%
19255 1
1.1%
16586 1
1.1%
16469 1
1.1%

268
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4324.380435
Minimum0
Maximum14927
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:48.514391image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.1
Q11380.75
median2935
Q36977.75
95-th percentile11928.95
Maximum14927
Range14927
Interquartile range (IQR)5597

Descriptive statistics

Standard deviation3912.007202
Coefficient of variation (CV)0.9046399273
Kurtosis-0.4038137248
Mean4324.380435
Median Absolute Deviation (MAD)2370.5
Skewness0.8326155698
Sum397843
Variance15303800.35
MonotonicityNot monotonic
2022-12-08T10:52:48.690946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2713 2
 
2.2%
9546 1
 
1.1%
2521 1
 
1.1%
1616 1
 
1.1%
9299 1
 
1.1%
3792 1
 
1.1%
1767 1
 
1.1%
1122 1
 
1.1%
2126 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
32 1
 
1.1%
54 1
 
1.1%
72 1
 
1.1%
84 1
 
1.1%
ValueCountFrequency (%)
14927 1
1.1%
13753 1
1.1%
12152 1
1.1%
12106 1
1.1%
12012 1
1.1%

269
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4511.630435
Minimum0
Maximum17395
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:48.846041image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q1945.5
median2625
Q37918.75
95-th percentile12794.75
Maximum17395
Range17395
Interquartile range (IQR)6973.25

Descriptive statistics

Standard deviation4422.995543
Coefficient of variation (CV)0.980354133
Kurtosis0.3375941865
Mean4511.630435
Median Absolute Deviation (MAD)2377.5
Skewness1.063121168
Sum415070
Variance19562889.58
MonotonicityNot monotonic
2022-12-08T10:52:48.989682image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2423 1
 
1.1%
9346 1
 
1.1%
2242 1
 
1.1%
1170 1
 
1.1%
7838 1
 
1.1%
4362 1
 
1.1%
1448 1
 
1.1%
651 1
 
1.1%
944 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
3 1
 
1.1%
5 1
 
1.1%
8 1
 
1.1%
ValueCountFrequency (%)
17395 1
1.1%
16379 1
1.1%
15793 1
1.1%
15083 1
1.1%
14673 1
1.1%

270
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5486
Minimum0
Maximum19011
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:49.131809image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q11650.5
median3391.5
Q38887.75
95-th percentile15063.3
Maximum19011
Range19011
Interquartile range (IQR)7237.25

Descriptive statistics

Standard deviation5082.566086
Coefficient of variation (CV)0.9264611896
Kurtosis-0.3885334412
Mean5486
Median Absolute Deviation (MAD)3012.5
Skewness0.8515710078
Sum504712
Variance25832478.02
MonotonicityNot monotonic
2022-12-08T10:52:49.282427image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2322 2
 
2.2%
2901 1
 
1.1%
13018 1
 
1.1%
11097 1
 
1.1%
5939 1
 
1.1%
1868 1
 
1.1%
1277 1
 
1.1%
4015 1
 
1.1%
10941 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
4 1
 
1.1%
6 1
 
1.1%
ValueCountFrequency (%)
19011 1
1.1%
17259 1
1.1%
17168 1
1.1%
16225 1
1.1%
15599 1
1.1%

271
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5281.619565
Minimum0
Maximum22908
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:49.491889image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q11447.75
median3398.5
Q38776.25
95-th percentile14313.35
Maximum22908
Range22908
Interquartile range (IQR)7328.5

Descriptive statistics

Standard deviation5022.846067
Coefficient of variation (CV)0.9510048963
Kurtosis0.8216006293
Mean5281.619565
Median Absolute Deviation (MAD)2932
Skewness1.13980328
Sum485909
Variance25228982.61
MonotonicityNot monotonic
2022-12-08T10:52:49.659956image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2581 1
 
1.1%
12630 1
 
1.1%
3473 1
 
1.1%
1951 1
 
1.1%
9701 1
 
1.1%
3787 1
 
1.1%
2074 1
 
1.1%
1448 1
 
1.1%
2914 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%
20 1
 
1.1%
ValueCountFrequency (%)
22908 1
1.1%
18379 1
1.1%
16722 1
1.1%
15912 1
1.1%
15437 1
1.1%

272
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4667.26087
Minimum0
Maximum18414
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:49.852143image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11143.5
median3196
Q37235.5
95-th percentile12633.95
Maximum18414
Range18414
Interquartile range (IQR)6092

Descriptive statistics

Standard deviation4475.276601
Coefficient of variation (CV)0.9588657515
Kurtosis0.4247837748
Mean4667.26087
Median Absolute Deviation (MAD)2783.5
Skewness1.062877973
Sum429388
Variance20028100.66
MonotonicityNot monotonic
2022-12-08T10:52:50.099022image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2941 1
 
1.1%
10926 1
 
1.1%
3504 1
 
1.1%
1773 1
 
1.1%
9926 1
 
1.1%
3855 1
 
1.1%
1750 1
 
1.1%
1149 1
 
1.1%
3308 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
15 1
 
1.1%
34 1
 
1.1%
ValueCountFrequency (%)
18414 1
1.1%
16817 1
1.1%
16324 1
1.1%
14420 1
1.1%
12739 1
1.1%

273
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5971.108696
Minimum0
Maximum23371
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:50.338419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11384.75
median3644
Q310012
95-th percentile15562.9
Maximum23371
Range23371
Interquartile range (IQR)8627.25

Descriptive statistics

Standard deviation5718.982157
Coefficient of variation (CV)0.9577755905
Kurtosis0.4357820198
Mean5971.108696
Median Absolute Deviation (MAD)3341.5
Skewness1.035087184
Sum549342
Variance32706756.91
MonotonicityNot monotonic
2022-12-08T10:52:50.521948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3046 1
 
1.1%
1228 1
 
1.1%
2898 1
 
1.1%
2076 1
 
1.1%
11297 1
 
1.1%
4599 1
 
1.1%
2451 1
 
1.1%
1041 1
 
1.1%
1902 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
42 1
 
1.1%
53 1
 
1.1%
137 1
 
1.1%
158 1
 
1.1%
ValueCountFrequency (%)
23371 1
1.1%
22848 1
1.1%
20772 1
1.1%
15947 1
1.1%
15740 1
1.1%

274
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4963.434783
Minimum0
Maximum19013
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:50.681365image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.05
Q11167.25
median3039
Q38157
95-th percentile13891.55
Maximum19013
Range19013
Interquartile range (IQR)6989.75

Descriptive statistics

Standard deviation4775.068207
Coefficient of variation (CV)0.9620491486
Kurtosis0.0669019821
Mean4963.434783
Median Absolute Deviation (MAD)2681.5
Skewness0.9933103269
Sum456636
Variance22801276.38
MonotonicityNot monotonic
2022-12-08T10:52:50.846431image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
4037 2
 
2.2%
2021 1
 
1.1%
15123 1
 
1.1%
1192 1
 
1.1%
8373 1
 
1.1%
2081 1
 
1.1%
861 1
 
1.1%
2768 1
 
1.1%
7584 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
3 1
 
1.1%
14 1
 
1.1%
24 1
 
1.1%
ValueCountFrequency (%)
19013 1
1.1%
17501 1
1.1%
15922 1
1.1%
15123 1
1.1%
14298 1
1.1%

275
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4656.478261
Minimum0
Maximum17978
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:50.984091image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q11227
median2856.5
Q37409
95-th percentile12642.65
Maximum17978
Range17978
Interquartile range (IQR)6182

Descriptive statistics

Standard deviation4556.933815
Coefficient of variation (CV)0.978622375
Kurtosis0.2617942776
Mean4656.478261
Median Absolute Deviation (MAD)2494.5
Skewness1.057871896
Sum428396
Variance20765645.79
MonotonicityNot monotonic
2022-12-08T10:52:51.125185image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
603 2
 
2.2%
2754 1
 
1.1%
10498 1
 
1.1%
1585 1
 
1.1%
8192 1
 
1.1%
3217 1
 
1.1%
1533 1
 
1.1%
790 1
 
1.1%
1856 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
4 1
 
1.1%
50 1
 
1.1%
154 1
 
1.1%
ValueCountFrequency (%)
17978 1
1.1%
17925 1
1.1%
15641 1
1.1%
13841 1
1.1%
12861 1
1.1%

276
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5072.076087
Minimum0
Maximum19718
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:51.275295image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11564.75
median3475
Q37885
95-th percentile13823
Maximum19718
Range19718
Interquartile range (IQR)6320.25

Descriptive statistics

Standard deviation4734.775187
Coefficient of variation (CV)0.9334984542
Kurtosis0.4400252124
Mean5072.076087
Median Absolute Deviation (MAD)3039.5
Skewness1.049226453
Sum466631
Variance22418096.07
MonotonicityNot monotonic
2022-12-08T10:52:51.441869image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2533 1
 
1.1%
2734 1
 
1.1%
4540 1
 
1.1%
1871 1
 
1.1%
7966 1
 
1.1%
4461 1
 
1.1%
2097 1
 
1.1%
1307 1
 
1.1%
3610 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
27 1
 
1.1%
51 1
 
1.1%
173 1
 
1.1%
ValueCountFrequency (%)
19718 1
1.1%
18469 1
1.1%
16314 1
1.1%
15082 1
1.1%
14472 1
1.1%

277
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4758.195652
Minimum0
Maximum19354
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:51.609444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q11379.75
median3127.5
Q37639.5
95-th percentile12383.4
Maximum19354
Range19354
Interquartile range (IQR)6259.75

Descriptive statistics

Standard deviation4528.57646
Coefficient of variation (CV)0.9517423811
Kurtosis0.8575986103
Mean4758.195652
Median Absolute Deviation (MAD)2766
Skewness1.131698911
Sum437754
Variance20508004.75
MonotonicityNot monotonic
2022-12-08T10:52:51.770926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1821 1
 
1.1%
10130 1
 
1.1%
3534 1
 
1.1%
2114 1
 
1.1%
6972 1
 
1.1%
5425 1
 
1.1%
1266 1
 
1.1%
1116 1
 
1.1%
3196 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
4 1
 
1.1%
5 1
 
1.1%
53 1
 
1.1%
ValueCountFrequency (%)
19354 1
1.1%
18513 1
1.1%
16950 1
1.1%
13076 1
1.1%
12720 1
1.1%

278
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5087.076087
Minimum0
Maximum18989
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:51.926544image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q1870
median3373.5
Q38471.5
95-th percentile15364.8
Maximum18989
Range18989
Interquartile range (IQR)7601.5

Descriptive statistics

Standard deviation5056.986446
Coefficient of variation (CV)0.9940850814
Kurtosis0.1241526379
Mean5087.076087
Median Absolute Deviation (MAD)2953
Skewness1.021740911
Sum468011
Variance25573111.92
MonotonicityNot monotonic
2022-12-08T10:52:52.092133image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
5652 2
 
2.2%
2286 1
 
1.1%
899 1
 
1.1%
1172 1
 
1.1%
8383 1
 
1.1%
4728 1
 
1.1%
1494 1
 
1.1%
822 1
 
1.1%
886 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
25 1
 
1.1%
42 1
 
1.1%
54 1
 
1.1%
ValueCountFrequency (%)
18989 1
1.1%
18436 1
1.1%
17601 1
1.1%
17054 1
1.1%
15411 1
1.1%

279
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4998.923913
Minimum0
Maximum18838
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:52.243247image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11356.5
median3153.5
Q38859
95-th percentile13459.75
Maximum18838
Range18838
Interquartile range (IQR)7502.5

Descriptive statistics

Standard deviation4765.871338
Coefficient of variation (CV)0.9533794514
Kurtosis0.04123977111
Mean4998.923913
Median Absolute Deviation (MAD)2934
Skewness0.9718194505
Sum459901
Variance22713529.61
MonotonicityNot monotonic
2022-12-08T10:52:52.389890image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2216 2
 
2.2%
1 2
 
2.2%
2418 1
 
1.1%
3503 1
 
1.1%
2096 1
 
1.1%
9033 1
 
1.1%
4322 1
 
1.1%
1742 1
 
1.1%
1304 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
3 1
 
1.1%
6 1
 
1.1%
32 1
 
1.1%
ValueCountFrequency (%)
18838 1
1.1%
18470 1
1.1%
15635 1
1.1%
14432 1
1.1%
13699 1
1.1%

280
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4612.173913
Minimum0
Maximum17219
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:52.558950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11073.75
median2956.5
Q37317
95-th percentile12699.15
Maximum17219
Range17219
Interquartile range (IQR)6243.25

Descriptive statistics

Standard deviation4378.672822
Coefficient of variation (CV)0.9493728781
Kurtosis0.362297412
Mean4612.173913
Median Absolute Deviation (MAD)2715
Skewness1.026579307
Sum424320
Variance19172775.68
MonotonicityNot monotonic
2022-12-08T10:52:52.734515image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2412 1
 
1.1%
1028 1
 
1.1%
2710 1
 
1.1%
1449 1
 
1.1%
8758 1
 
1.1%
4365 1
 
1.1%
1803 1
 
1.1%
759 1
 
1.1%
905 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
11 1
 
1.1%
19 1
 
1.1%
32 1
 
1.1%
146 1
 
1.1%
ValueCountFrequency (%)
17219 1
1.1%
16438 1
1.1%
16357 1
1.1%
15302 1
1.1%
12758 1
1.1%

281
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5807.402174
Minimum0
Maximum21584
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:52.898115image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11366.25
median3529
Q39459.5
95-th percentile16319.55
Maximum21584
Range21584
Interquartile range (IQR)8093.25

Descriptive statistics

Standard deviation5550.816131
Coefficient of variation (CV)0.9558174145
Kurtosis-0.07013732048
Mean5807.402174
Median Absolute Deviation (MAD)3103.5
Skewness0.9577912769
Sum534281
Variance30811559.72
MonotonicityNot monotonic
2022-12-08T10:52:53.036267image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2967 2
 
2.2%
2583 1
 
1.1%
12791 1
 
1.1%
1141 1
 
1.1%
9342 1
 
1.1%
5265 1
 
1.1%
1844 1
 
1.1%
1177 1
 
1.1%
2501 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
21 1
 
1.1%
71 1
 
1.1%
ValueCountFrequency (%)
21584 1
1.1%
19986 1
1.1%
18629 1
1.1%
16750 1
1.1%
16363 1
1.1%

282
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4852.293478
Minimum0
Maximum19167
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:53.203857image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11422
median3222
Q37976.5
95-th percentile12396.3
Maximum19167
Range19167
Interquartile range (IQR)6554.5

Descriptive statistics

Standard deviation4466.120143
Coefficient of variation (CV)0.9204142666
Kurtosis0.4525541971
Mean4852.293478
Median Absolute Deviation (MAD)2875.5
Skewness1.01044211
Sum446411
Variance19946229.13
MonotonicityNot monotonic
2022-12-08T10:52:53.365938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3222 2
 
2.2%
10019 2
 
2.2%
11657 1
 
1.1%
1713 1
 
1.1%
8871 1
 
1.1%
4010 1
 
1.1%
1305 1
 
1.1%
1282 1
 
1.1%
3181 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
3 1
 
1.1%
24 1
 
1.1%
75 1
 
1.1%
ValueCountFrequency (%)
19167 1
1.1%
17991 1
1.1%
14960 1
1.1%
12554 1
1.1%
12404 1
1.1%

283
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5196.456522
Minimum0
Maximum19102
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:53.517569image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11690.25
median3491
Q38235
95-th percentile13008.7
Maximum19102
Range19102
Interquartile range (IQR)6544.75

Descriptive statistics

Standard deviation4755.124457
Coefficient of variation (CV)0.915070575
Kurtosis0.1699942933
Mean5196.456522
Median Absolute Deviation (MAD)2939.5
Skewness0.9623918787
Sum478074
Variance22611208.6
MonotonicityNot monotonic
2022-12-08T10:52:53.655716image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
4652 2
 
2.2%
11599 1
 
1.1%
2242 1
 
1.1%
8595 1
 
1.1%
5003 1
 
1.1%
2073 1
 
1.1%
1553 1
 
1.1%
3556 1
 
1.1%
6354 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
7 1
 
1.1%
14 1
 
1.1%
49 1
 
1.1%
ValueCountFrequency (%)
19102 1
1.1%
18779 1
1.1%
16902 1
1.1%
13753 1
1.1%
13122 1
1.1%

284
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4578.663043
Minimum0
Maximum17705
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:55.916584image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.3
Q11502.25
median2934.5
Q38170.25
95-th percentile11404.35
Maximum17705
Range17705
Interquartile range (IQR)6668

Descriptive statistics

Standard deviation4330.620526
Coefficient of variation (CV)0.9458264311
Kurtosis0.4919080086
Mean4578.663043
Median Absolute Deviation (MAD)2347.5
Skewness1.070569257
Sum421237
Variance18754274.14
MonotonicityNot monotonic
2022-12-08T10:52:56.053730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
10789 2
 
2.2%
2299 1
 
1.1%
1722 1
 
1.1%
3002 1
 
1.1%
1856 1
 
1.1%
8165 1
 
1.1%
3118 1
 
1.1%
1719 1
 
1.1%
1078 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
9 1
 
1.1%
13 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
17705 1
1.1%
17437 1
1.1%
16295 1
1.1%
12464 1
1.1%
11802 1
1.1%

285
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5965.934783
Minimum0
Maximum22691
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:56.192099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q11486.75
median3863.5
Q39391
95-th percentile16892.2
Maximum22691
Range22691
Interquartile range (IQR)7904.25

Descriptive statistics

Standard deviation5723.976298
Coefficient of variation (CV)0.9594433238
Kurtosis0.09986496648
Mean5965.934783
Median Absolute Deviation (MAD)3450.5
Skewness0.9918541026
Sum548866
Variance32763904.66
MonotonicityNot monotonic
2022-12-08T10:52:56.342213image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2890 1
 
1.1%
1744 1
 
1.1%
3550 1
 
1.1%
1710 1
 
1.1%
8656 1
 
1.1%
4730 1
 
1.1%
1777 1
 
1.1%
1027 1
 
1.1%
2524 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
12 1
 
1.1%
98 1
 
1.1%
159 1
 
1.1%
240 1
 
1.1%
ValueCountFrequency (%)
22691 1
1.1%
20863 1
1.1%
20215 1
1.1%
17922 1
1.1%
17143 1
1.1%

286
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5085.652174
Minimum0
Maximum18926
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:56.485350image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.35
Q11534.25
median3394.5
Q37476.75
95-th percentile12851.35
Maximum18926
Range18926
Interquartile range (IQR)5942.5

Descriptive statistics

Standard deviation4673.489678
Coefficient of variation (CV)0.9189558228
Kurtosis0.1849052207
Mean5085.652174
Median Absolute Deviation (MAD)2757
Skewness0.993096925
Sum467880
Variance21841505.77
MonotonicityNot monotonic
2022-12-08T10:52:56.631945image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2824 1
 
1.1%
2111 1
 
1.1%
2997 1
 
1.1%
1937 1
 
1.1%
8737 1
 
1.1%
3836 1
 
1.1%
1600 1
 
1.1%
1337 1
 
1.1%
2614 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
17 1
 
1.1%
22 1
 
1.1%
65 1
 
1.1%
99 1
 
1.1%
ValueCountFrequency (%)
18926 1
1.1%
17604 1
1.1%
17261 1
1.1%
13044 1
1.1%
12853 1
1.1%

287
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4890.478261
Minimum0
Maximum21233
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:56.779068image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11375.25
median3116
Q37991.75
95-th percentile12641.8
Maximum21233
Range21233
Interquartile range (IQR)6616.5

Descriptive statistics

Standard deviation4592.923397
Coefficient of variation (CV)0.9391562853
Kurtosis0.9187079865
Mean4890.478261
Median Absolute Deviation (MAD)2705.5
Skewness1.11847049
Sum449924
Variance21094945.33
MonotonicityNot monotonic
2022-12-08T10:52:56.922712image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1869 1
 
1.1%
1673 1
 
1.1%
3627 1
 
1.1%
1398 1
 
1.1%
9251 1
 
1.1%
4521 1
 
1.1%
1690 1
 
1.1%
1143 1
 
1.1%
2303 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
5 1
 
1.1%
18 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
21233 1
1.1%
17054 1
1.1%
16527 1
1.1%
13824 1
1.1%
12666 1
1.1%

288
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5611.630435
Minimum0
Maximum22387
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:57.063850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11297.5
median3507.5
Q38797.5
95-th percentile15456.95
Maximum22387
Range22387
Interquartile range (IQR)7500

Descriptive statistics

Standard deviation5451.148416
Coefficient of variation (CV)0.9714018909
Kurtosis0.5532859586
Mean5611.630435
Median Absolute Deviation (MAD)3208
Skewness1.09265925
Sum516270
Variance29715019.05
MonotonicityNot monotonic
2022-12-08T10:52:57.217475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
8446 2
 
2.2%
2416 1
 
1.1%
11864 1
 
1.1%
4610 1
 
1.1%
2259 1
 
1.1%
9530 1
 
1.1%
5667 1
 
1.1%
1847 1
 
1.1%
1596 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
5 1
 
1.1%
25 1
 
1.1%
27 1
 
1.1%
ValueCountFrequency (%)
22387 1
1.1%
22078 1
1.1%
18119 1
1.1%
17528 1
1.1%
15485 1
1.1%

289
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4657.695652
Minimum0
Maximum18153
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:57.368594image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.95
Q11405.25
median2992.5
Q37336.5
95-th percentile13244.85
Maximum18153
Range18153
Interquartile range (IQR)5931.25

Descriptive statistics

Standard deviation4412.375518
Coefficient of variation (CV)0.9473301493
Kurtosis0.1174210625
Mean4657.695652
Median Absolute Deviation (MAD)2639
Skewness0.9901062537
Sum428508
Variance19469057.71
MonotonicityNot monotonic
2022-12-08T10:52:57.535180image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
21 2
 
2.2%
2209 1
 
1.1%
7449 1
 
1.1%
1957 1
 
1.1%
3228 1
 
1.1%
1567 1
 
1.1%
7874 1
 
1.1%
4880 1
 
1.1%
1426 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
9 1
 
1.1%
21 2
 
2.2%
36 1
 
1.1%
45 1
 
1.1%
ValueCountFrequency (%)
18153 1
1.1%
15221 1
1.1%
15028 1
1.1%
13578 1
1.1%
13274 1
1.1%

290
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5108.402174
Minimum0
Maximum21178
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:57.699781image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11372.25
median3245
Q37703.5
95-th percentile12976.4
Maximum21178
Range21178
Interquartile range (IQR)6331.25

Descriptive statistics

Standard deviation4846.236138
Coefficient of variation (CV)0.9486794448
Kurtosis0.6005534227
Mean5108.402174
Median Absolute Deviation (MAD)2897.5
Skewness1.069650986
Sum469973
Variance23486004.7
MonotonicityNot monotonic
2022-12-08T10:52:57.829954image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
5263 2
 
2.2%
1825 1
 
1.1%
3328 1
 
1.1%
1697 1
 
1.1%
8982 1
 
1.1%
4577 1
 
1.1%
1917 1
 
1.1%
1123 1
 
1.1%
2664 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
16 1
 
1.1%
52 1
 
1.1%
117 1
 
1.1%
ValueCountFrequency (%)
21178 1
1.1%
18522 1
1.1%
17091 1
1.1%
14667 1
1.1%
13401 1
1.1%

291
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5290.48913
Minimum0
Maximum20480
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:57.987716image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.5
Q11424.75
median3536
Q38821
95-th percentile14828.45
Maximum20480
Range20480
Interquartile range (IQR)7396.25

Descriptive statistics

Standard deviation4985.894496
Coefficient of variation (CV)0.9424259975
Kurtosis0.07803688516
Mean5290.48913
Median Absolute Deviation (MAD)3177
Skewness0.9725864655
Sum486725
Variance24859143.92
MonotonicityNot monotonic
2022-12-08T10:52:58.139343image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2763 1
 
1.1%
12705 1
 
1.1%
3489 1
 
1.1%
1776 1
 
1.1%
8819 1
 
1.1%
4853 1
 
1.1%
1232 1
 
1.1%
1474 1
 
1.1%
3277 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
51 1
 
1.1%
95 1
 
1.1%
125 1
 
1.1%
ValueCountFrequency (%)
20480 1
1.1%
17436 1
1.1%
17367 1
1.1%
15550 1
1.1%
14862 1
1.1%

292
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4826.836957
Minimum0
Maximum17542
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:58.279184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11242.5
median3275.5
Q37680.25
95-th percentile13331.3
Maximum17542
Range17542
Interquartile range (IQR)6437.75

Descriptive statistics

Standard deviation4576.488308
Coefficient of variation (CV)0.948134016
Kurtosis-0.1807524038
Mean4826.836957
Median Absolute Deviation (MAD)2750
Skewness0.9506421444
Sum444069
Variance20944245.24
MonotonicityNot monotonic
2022-12-08T10:52:58.435802image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2581 1
 
1.1%
1894 1
 
1.1%
3441 1
 
1.1%
1798 1
 
1.1%
6776 1
 
1.1%
3631 1
 
1.1%
1178 1
 
1.1%
862 1
 
1.1%
3474 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
4 1
 
1.1%
7 1
 
1.1%
85 1
 
1.1%
ValueCountFrequency (%)
17542 1
1.1%
16155 1
1.1%
14837 1
1.1%
14442 1
1.1%
14175 1
1.1%

293
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5367.565217
Minimum0
Maximum24341
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:58.609374image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11513.5
median3622.5
Q38735
95-th percentile14158.7
Maximum24341
Range24341
Interquartile range (IQR)7221.5

Descriptive statistics

Standard deviation5044.824976
Coefficient of variation (CV)0.9398721342
Kurtosis1.045974225
Mean5367.565217
Median Absolute Deviation (MAD)3224.5
Skewness1.108790678
Sum493816
Variance25450259.04
MonotonicityNot monotonic
2022-12-08T10:52:58.759487image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2249 1
 
1.1%
2099 1
 
1.1%
3707 1
 
1.1%
2040 1
 
1.1%
10001 1
 
1.1%
5750 1
 
1.1%
2280 1
 
1.1%
925 1
 
1.1%
2825 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
20 1
 
1.1%
45 1
 
1.1%
99 1
 
1.1%
174 1
 
1.1%
ValueCountFrequency (%)
24341 1
1.1%
17111 1
1.1%
17080 1
1.1%
14636 1
1.1%
14635 1
1.1%

294
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5094.76087
Minimum0
Maximum19779
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:58.893647image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11538.5
median3328
Q38583
95-th percentile13352.65
Maximum19779
Range19779
Interquartile range (IQR)7044.5

Descriptive statistics

Standard deviation4611.366393
Coefficient of variation (CV)0.9051193002
Kurtosis0.1684761602
Mean5094.76087
Median Absolute Deviation (MAD)2654
Skewness0.9615945668
Sum468718
Variance21264700.01
MonotonicityNot monotonic
2022-12-08T10:52:59.024884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
2299 1
 
1.1%
1713 1
 
1.1%
3430 1
 
1.1%
1989 1
 
1.1%
8289 1
 
1.1%
2806 1
 
1.1%
1353 1
 
1.1%
1239 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
2 1
 
1.1%
11 1
 
1.1%
72 1
 
1.1%
ValueCountFrequency (%)
19779 1
1.1%
16682 1
1.1%
15114 1
1.1%
14784 1
1.1%
13406 1
1.1%

295
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5052.206522
Minimum0
Maximum18798
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:59.166014image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53.5
Q11553
median3639
Q38119
95-th percentile13820.55
Maximum18798
Range18798
Interquartile range (IQR)6566

Descriptive statistics

Standard deviation4699.391507
Coefficient of variation (CV)0.9301661536
Kurtosis0.05396270121
Mean5052.206522
Median Absolute Deviation (MAD)3114.5
Skewness0.9643718449
Sum464803
Variance22084280.54
MonotonicityNot monotonic
2022-12-08T10:52:59.314259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2308 1
 
1.1%
10166 1
 
1.1%
2280 1
 
1.1%
9459 1
 
1.1%
5007 1
 
1.1%
1615 1
 
1.1%
1051 1
 
1.1%
3083 1
 
1.1%
8353 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
2 1
1.1%
3 1
1.1%
26 1
1.1%
76 1
1.1%
ValueCountFrequency (%)
18798 1
1.1%
16989 1
1.1%
16077 1
1.1%
15526 1
1.1%
14051 1
1.1%

296
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4640.934783
Minimum0
Maximum18606
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:59.458220image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11513.25
median3057.5
Q37424
95-th percentile12248.4
Maximum18606
Range18606
Interquartile range (IQR)5910.75

Descriptive statistics

Standard deviation4409.258493
Coefficient of variation (CV)0.9500798222
Kurtosis0.5775820666
Mean4640.934783
Median Absolute Deviation (MAD)2727
Skewness1.089093116
Sum426966
Variance19441560.46
MonotonicityNot monotonic
2022-12-08T10:52:59.600884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
160 2
 
2.2%
2548 1
 
1.1%
2150 1
 
1.1%
3286 1
 
1.1%
2177 1
 
1.1%
8927 1
 
1.1%
3105 1
 
1.1%
1561 1
 
1.1%
1164 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
14 1
 
1.1%
16 1
 
1.1%
ValueCountFrequency (%)
18606 1
1.1%
17474 1
1.1%
16003 1
1.1%
13129 1
1.1%
12398 1
1.1%

297
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5125.869565
Minimum0
Maximum19011
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:52:59.756983image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88.05
Q11578.75
median3860.5
Q37413.75
95-th percentile14297.1
Maximum19011
Range19011
Interquartile range (IQR)5835

Descriptive statistics

Standard deviation4776.381927
Coefficient of variation (CV)0.9318188585
Kurtosis0.3831976943
Mean5125.869565
Median Absolute Deviation (MAD)2695
Skewness1.060759456
Sum471580
Variance22813824.31
MonotonicityNot monotonic
2022-12-08T10:52:59.901634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2309 1
 
1.1%
11981 1
 
1.1%
3242 1
 
1.1%
1644 1
 
1.1%
7272 1
 
1.1%
5010 1
 
1.1%
1633 1
 
1.1%
1165 1
 
1.1%
1988 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
82 1
 
1.1%
93 1
 
1.1%
166 1
 
1.1%
ValueCountFrequency (%)
19011 1
1.1%
18850 1
1.1%
17089 1
1.1%
15236 1
1.1%
14439 1
1.1%

298
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4757.880435
Minimum0
Maximum17713
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:00.044761image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.5
Q11327.25
median3051
Q37776.5
95-th percentile13442.8
Maximum17713
Range17713
Interquartile range (IQR)6449.25

Descriptive statistics

Standard deviation4548.505121
Coefficient of variation (CV)0.9559939942
Kurtosis0.07963816601
Mean4757.880435
Median Absolute Deviation (MAD)2698
Skewness0.9968336353
Sum437725
Variance20688898.83
MonotonicityNot monotonic
2022-12-08T10:53:00.175931image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2054 1
 
1.1%
1382 1
 
1.1%
2585 1
 
1.1%
1338 1
 
1.1%
8810 1
 
1.1%
4099 1
 
1.1%
1295 1
 
1.1%
1217 1
 
1.1%
1827 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
10 1
 
1.1%
31 1
 
1.1%
53 1
 
1.1%
76 1
 
1.1%
ValueCountFrequency (%)
17713 1
1.1%
17681 1
1.1%
14575 1
1.1%
14183 1
1.1%
13533 1
1.1%

299
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4347.956522
Minimum0
Maximum15555
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:00.322567image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11257.5
median3006
Q37174.5
95-th percentile11461.35
Maximum15555
Range15555
Interquartile range (IQR)5917

Descriptive statistics

Standard deviation4059.034322
Coefficient of variation (CV)0.9335498875
Kurtosis-0.1870881056
Mean4347.956522
Median Absolute Deviation (MAD)2639.5
Skewness0.9094479923
Sum400012
Variance16475759.62
MonotonicityNot monotonic
2022-12-08T10:53:00.464704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
342 2
 
2.2%
1911 1
 
1.1%
7159 1
 
1.1%
2755 1
 
1.1%
3699 1
 
1.1%
1688 1
 
1.1%
7327 1
 
1.1%
3276 1
 
1.1%
1560 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
21 1
 
1.1%
33 1
 
1.1%
67 1
 
1.1%
95 1
 
1.1%
ValueCountFrequency (%)
15555 1
1.1%
15056 1
1.1%
13402 1
1.1%
13007 1
1.1%
11705 1
1.1%

300
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5423.108696
Minimum0
Maximum22839
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:00.600368image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11586
median3568
Q39165.5
95-th percentile15876.4
Maximum22839
Range22839
Interquartile range (IQR)7579.5

Descriptive statistics

Standard deviation5160.176169
Coefficient of variation (CV)0.9515162721
Kurtosis0.7189845344
Mean5423.108696
Median Absolute Deviation (MAD)3051
Skewness1.122975802
Sum498926
Variance26627418.1
MonotonicityNot monotonic
2022-12-08T10:53:00.730992image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2484 1
 
1.1%
1779 1
 
1.1%
3411 1
 
1.1%
2651 1
 
1.1%
7640 1
 
1.1%
4282 1
 
1.1%
1687 1
 
1.1%
1682 1
 
1.1%
2694 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
29 1
 
1.1%
46 1
 
1.1%
100 1
 
1.1%
ValueCountFrequency (%)
22839 1
1.1%
19214 1
1.1%
16494 1
1.1%
16363 1
1.1%
15993 1
1.1%

301
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4739.130435
Minimum0
Maximum18990
Zeros7
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:00.875117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11408.5
median3065.5
Q37511
95-th percentile12898.95
Maximum18990
Range18990
Interquartile range (IQR)6102.5

Descriptive statistics

Standard deviation4525.675801
Coefficient of variation (CV)0.954959114
Kurtosis0.1914418242
Mean4739.130435
Median Absolute Deviation (MAD)2597.5
Skewness1.010976999
Sum436000
Variance20481741.46
MonotonicityNot monotonic
2022-12-08T10:53:01.025730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
7.6%
2589 2
 
2.2%
2458 1
 
1.1%
7946 1
 
1.1%
3363 1
 
1.1%
1482 1
 
1.1%
9371 1
 
1.1%
4004 1
 
1.1%
1488 1
 
1.1%
843 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 7
7.6%
25 1
 
1.1%
76 1
 
1.1%
81 1
 
1.1%
155 1
 
1.1%
ValueCountFrequency (%)
18990 1
1.1%
16577 1
1.1%
14357 1
1.1%
13690 1
1.1%
12960 1
1.1%

302
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5010.380435
Minimum0
Maximum18968
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:01.193797image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.75
Q11130.25
median3550.5
Q38423.25
95-th percentile14285.25
Maximum18968
Range18968
Interquartile range (IQR)7293

Descriptive statistics

Standard deviation4785.052314
Coefficient of variation (CV)0.9550277421
Kurtosis0.6126951822
Mean5010.380435
Median Absolute Deviation (MAD)2873.5
Skewness1.105156184
Sum460955
Variance22896725.64
MonotonicityNot monotonic
2022-12-08T10:53:01.341960image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
250 2
 
2.2%
4821 2
 
2.2%
1675 1
 
1.1%
3532 1
 
1.1%
921 1
 
1.1%
8396 1
 
1.1%
4266 1
 
1.1%
1530 1
 
1.1%
888 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
8 1
 
1.1%
64 1
 
1.1%
73 1
 
1.1%
ValueCountFrequency (%)
18968 1
1.1%
18079 1
1.1%
17981 1
1.1%
17329 1
1.1%
15476 1
1.1%

303
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4355.184783
Minimum0
Maximum17227
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:01.528488image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.55
Q11111.25
median2647.5
Q37558.25
95-th percentile11998.9
Maximum17227
Range17227
Interquartile range (IQR)6447

Descriptive statistics

Standard deviation4266.136855
Coefficient of variation (CV)0.9795535823
Kurtosis0.1221868728
Mean4355.184783
Median Absolute Deviation (MAD)2475
Skewness1.014287166
Sum400677
Variance18199923.67
MonotonicityNot monotonic
2022-12-08T10:53:01.700549image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
1572 1
 
1.1%
8033 1
 
1.1%
1403 1
 
1.1%
7888 1
 
1.1%
2503 1
 
1.1%
1487 1
 
1.1%
973 1
 
1.1%
2961 1
 
1.1%
7344 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
12 1
1.1%
13 1
1.1%
19 1
1.1%
20 1
1.1%
ValueCountFrequency (%)
17227 1
1.1%
15384 1
1.1%
14659 1
1.1%
12796 1
1.1%
12187 1
1.1%

304
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4891.804348
Minimum0
Maximum19904
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:01.856162image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11226.25
median3082.5
Q38430.5
95-th percentile13236
Maximum19904
Range19904
Interquartile range (IQR)7204.25

Descriptive statistics

Standard deviation4747.725783
Coefficient of variation (CV)0.9705469487
Kurtosis0.2434770577
Mean4891.804348
Median Absolute Deviation (MAD)2774.5
Skewness1.022145091
Sum450046
Variance22540900.12
MonotonicityNot monotonic
2022-12-08T10:53:02.048273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2020 1
 
1.1%
1910 1
 
1.1%
3628 1
 
1.1%
1394 1
 
1.1%
7156 1
 
1.1%
4262 1
 
1.1%
1479 1
 
1.1%
970 1
 
1.1%
2362 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
15 1
 
1.1%
33 1
 
1.1%
73 1
 
1.1%
176 1
 
1.1%
ValueCountFrequency (%)
19904 1
1.1%
17008 1
1.1%
16325 1
1.1%
14716 1
1.1%
13258 1
1.1%

305
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4748.913043
Minimum0
Maximum19885
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:02.206326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11321.5
median3102
Q37496.25
95-th percentile12740.55
Maximum19885
Range19885
Interquartile range (IQR)6174.75

Descriptive statistics

Standard deviation4456.216467
Coefficient of variation (CV)0.9383655641
Kurtosis0.5746335376
Mean4748.913043
Median Absolute Deviation (MAD)2687.5
Skewness1.046059019
Sum436900
Variance19857865.2
MonotonicityNot monotonic
2022-12-08T10:53:02.372392image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
175 2
 
2.2%
4141 2
 
2.2%
2393 1
 
1.1%
1940 1
 
1.1%
2983 1
 
1.1%
1331 1
 
1.1%
7793 1
 
1.1%
1630 1
 
1.1%
947 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
9 1
 
1.1%
43 1
 
1.1%
57 1
 
1.1%
ValueCountFrequency (%)
19885 1
1.1%
17090 1
1.1%
13953 1
1.1%
13595 1
1.1%
12971 1
1.1%

306
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5402.391304
Minimum0
Maximum23363
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:02.578737image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11399.25
median3296
Q38899
95-th percentile14830.15
Maximum23363
Range23363
Interquartile range (IQR)7499.75

Descriptive statistics

Standard deviation5171.183126
Coefficient of variation (CV)0.9572026228
Kurtosis0.54908767
Mean5402.391304
Median Absolute Deviation (MAD)3021.5
Skewness1.040197355
Sum497020
Variance26741134.92
MonotonicityNot monotonic
2022-12-08T10:53:02.742326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2507 1
 
1.1%
1674 1
 
1.1%
3303 1
 
1.1%
1917 1
 
1.1%
9420 1
 
1.1%
5376 1
 
1.1%
1465 1
 
1.1%
1148 1
 
1.1%
3092 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
10 1
 
1.1%
33 1
 
1.1%
50 1
 
1.1%
ValueCountFrequency (%)
23363 1
1.1%
17890 1
1.1%
17434 1
1.1%
15553 1
1.1%
15395 1
1.1%

307
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4966.152174
Minimum0
Maximum19192
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:02.894439image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11401.25
median3379.5
Q38137.25
95-th percentile14530.35
Maximum19192
Range19192
Interquartile range (IQR)6736

Descriptive statistics

Standard deviation4609.330091
Coefficient of variation (CV)0.9281491847
Kurtosis0.1760861088
Mean4966.152174
Median Absolute Deviation (MAD)2981
Skewness0.9880453343
Sum456886
Variance21245923.89
MonotonicityNot monotonic
2022-12-08T10:53:03.051799image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2835 1
 
1.1%
2020 1
 
1.1%
4053 1
 
1.1%
2223 1
 
1.1%
9531 1
 
1.1%
4730 1
 
1.1%
1910 1
 
1.1%
1364 1
 
1.1%
2749 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
3 1
 
1.1%
76 1
 
1.1%
ValueCountFrequency (%)
19192 1
1.1%
15881 1
1.1%
15534 1
1.1%
15336 1
1.1%
15269 1
1.1%

308
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5041.097826
Minimum0
Maximum20063
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:03.223369image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11427.25
median3675
Q38272.5
95-th percentile13611.85
Maximum20063
Range20063
Interquartile range (IQR)6845.25

Descriptive statistics

Standard deviation4682.856461
Coefficient of variation (CV)0.9289358435
Kurtosis0.420371697
Mean5041.097826
Median Absolute Deviation (MAD)3164
Skewness1.002697848
Sum463781
Variance21929144.64
MonotonicityNot monotonic
2022-12-08T10:53:03.378466image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2 2
 
2.2%
2514 1
 
1.1%
9231 1
 
1.1%
3030 1
 
1.1%
3942 1
 
1.1%
1463 1
 
1.1%
8439 1
 
1.1%
4999 1
 
1.1%
1720 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 2
 
2.2%
13 1
 
1.1%
53 1
 
1.1%
190 1
 
1.1%
ValueCountFrequency (%)
20063 1
1.1%
18062 1
1.1%
16098 1
1.1%
14177 1
1.1%
13872 1
1.1%

309
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4972.271739
Minimum0
Maximum19921
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:03.527091image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.85
Q11625
median3056.5
Q37938.75
95-th percentile13362.55
Maximum19921
Range19921
Interquartile range (IQR)6313.75

Descriptive statistics

Standard deviation4709.78662
Coefficient of variation (CV)0.9472102224
Kurtosis0.3575577279
Mean4972.271739
Median Absolute Deviation (MAD)2805.5
Skewness1.033387776
Sum457449
Variance22182090
MonotonicityNot monotonic
2022-12-08T10:53:03.669806image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2835 1
 
1.1%
1682 1
 
1.1%
2938 1
 
1.1%
2093 1
 
1.1%
8816 1
 
1.1%
4213 1
 
1.1%
1379 1
 
1.1%
1182 1
 
1.1%
2345 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
7 1
 
1.1%
21 1
 
1.1%
22 1
 
1.1%
45 1
 
1.1%
ValueCountFrequency (%)
19921 1
1.1%
17351 1
1.1%
16409 1
1.1%
15470 1
1.1%
13637 1
1.1%

310
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4795.402174
Minimum0
Maximum19068
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:03.840370image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.25
Q11249.25
median3026.5
Q38272.5
95-th percentile13356.45
Maximum19068
Range19068
Interquartile range (IQR)7023.25

Descriptive statistics

Standard deviation4598.738666
Coefficient of variation (CV)0.9589891524
Kurtosis0.2332496293
Mean4795.402174
Median Absolute Deviation (MAD)2786.5
Skewness1.011746479
Sum441177
Variance21148397.32
MonotonicityNot monotonic
2022-12-08T10:53:03.993104image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2093 1
 
1.1%
9421 1
 
1.1%
3139 1
 
1.1%
1786 1
 
1.1%
7886 1
 
1.1%
3502 1
 
1.1%
1187 1
 
1.1%
1315 1
 
1.1%
2524 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
16 1
 
1.1%
24 1
 
1.1%
33 1
 
1.1%
ValueCountFrequency (%)
19068 1
1.1%
16668 1
1.1%
16070 1
1.1%
14468 1
1.1%
13357 1
1.1%

311
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4793.945652
Minimum0
Maximum19762
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:04.157684image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11330.5
median3001
Q37592.5
95-th percentile13304.65
Maximum19762
Range19762
Interquartile range (IQR)6262

Descriptive statistics

Standard deviation4604.430808
Coefficient of variation (CV)0.960467878
Kurtosis0.1875462174
Mean4793.945652
Median Absolute Deviation (MAD)2718
Skewness1.002651071
Sum441043
Variance21200783.06
MonotonicityNot monotonic
2022-12-08T10:53:04.321267image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1881 2
 
2.2%
2563 1
 
1.1%
11152 1
 
1.1%
1846 1
 
1.1%
9012 1
 
1.1%
3699 1
 
1.1%
1436 1
 
1.1%
917 1
 
1.1%
3830 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
20 1
 
1.1%
62 1
 
1.1%
ValueCountFrequency (%)
19762 1
1.1%
15497 1
1.1%
15069 1
1.1%
13488 1
1.1%
13457 1
1.1%

312
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5056.336957
Minimum0
Maximum20915
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:04.461258image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11103
median3187.5
Q38291
95-th percentile13479.7
Maximum20915
Range20915
Interquartile range (IQR)7188

Descriptive statistics

Standard deviation4889.11675
Coefficient of variation (CV)0.9669285873
Kurtosis0.5209231568
Mean5056.336957
Median Absolute Deviation (MAD)2847.5
Skewness1.077209309
Sum465183
Variance23903462.6
MonotonicityNot monotonic
2022-12-08T10:53:04.592415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2190 1
 
1.1%
10751 1
 
1.1%
2941 1
 
1.1%
1706 1
 
1.1%
8590 1
 
1.1%
4380 1
 
1.1%
1947 1
 
1.1%
953 1
 
1.1%
3118 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
4 1
 
1.1%
31 1
 
1.1%
ValueCountFrequency (%)
20915 1
1.1%
18552 1
1.1%
17066 1
1.1%
14929 1
1.1%
13494 1
1.1%

313
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4481.467391
Minimum0
Maximum17953
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:04.731071image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11055
median2957
Q37455.5
95-th percentile13303.3
Maximum17953
Range17953
Interquartile range (IQR)6400.5

Descriptive statistics

Standard deviation4322.35552
Coefficient of variation (CV)0.9644955865
Kurtosis0.3681884444
Mean4481.467391
Median Absolute Deviation (MAD)2520
Skewness1.046541468
Sum412295
Variance18682757.24
MonotonicityNot monotonic
2022-12-08T10:53:04.869211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 2
 
2.2%
1470 1
 
1.1%
959 1
 
1.1%
2402 1
 
1.1%
1092 1
 
1.1%
7601 1
 
1.1%
3169 1
 
1.1%
1464 1
 
1.1%
725 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
17 1
 
1.1%
28 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
17953 1
1.1%
15936 1
1.1%
14553 1
1.1%
13954 1
1.1%
13432 1
1.1%

314
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5380.554348
Minimum0
Maximum19781
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:05.028168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q11620.75
median3707.5
Q38863.25
95-th percentile14262.35
Maximum19781
Range19781
Interquartile range (IQR)7242.5

Descriptive statistics

Standard deviation4967.403999
Coefficient of variation (CV)0.9232141668
Kurtosis-0.1359867846
Mean5380.554348
Median Absolute Deviation (MAD)2755
Skewness0.9276860897
Sum495011
Variance24675102.49
MonotonicityNot monotonic
2022-12-08T10:53:05.160328image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2459 1
 
1.1%
2422 1
 
1.1%
3717 1
 
1.1%
2200 1
 
1.1%
9522 1
 
1.1%
5046 1
 
1.1%
1494 1
 
1.1%
1306 1
 
1.1%
4079 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
12 1
 
1.1%
26 1
 
1.1%
44 1
 
1.1%
137 1
 
1.1%
ValueCountFrequency (%)
19781 1
1.1%
17458 1
1.1%
16912 1
1.1%
14868 1
1.1%
14737 1
1.1%

315
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5216.369565
Minimum0
Maximum20465
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:05.305461image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11473.5
median3877
Q38119
95-th percentile13207.4
Maximum20465
Range20465
Interquartile range (IQR)6645.5

Descriptive statistics

Standard deviation4748.393574
Coefficient of variation (CV)0.9102870329
Kurtosis0.7570337369
Mean5216.369565
Median Absolute Deviation (MAD)2998.5
Skewness1.088789906
Sum479906
Variance22547241.53
MonotonicityNot monotonic
2022-12-08T10:53:05.428162image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3 2
 
2.2%
2314 1
 
1.1%
6611 1
 
1.1%
2983 1
 
1.1%
3007 1
 
1.1%
2507 1
 
1.1%
9773 1
 
1.1%
5171 1
 
1.1%
2376 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
3 2
 
2.2%
32 1
 
1.1%
150 1
 
1.1%
193 1
 
1.1%
ValueCountFrequency (%)
20465 1
1.1%
19373 1
1.1%
17726 1
1.1%
13837 1
1.1%
13599 1
1.1%

316
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4638.456522
Minimum0
Maximum19062
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:05.578277image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11323.75
median3173
Q37586
95-th percentile12260.55
Maximum19062
Range19062
Interquartile range (IQR)6262.25

Descriptive statistics

Standard deviation4257.41743
Coefficient of variation (CV)0.9178521799
Kurtosis0.2635093344
Mean4638.456522
Median Absolute Deviation (MAD)2596
Skewness0.9867351347
Sum426738
Variance18125603.17
MonotonicityNot monotonic
2022-12-08T10:53:05.757341image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2810 2
 
2.2%
7772 1
 
1.1%
2551 1
 
1.1%
2367 1
 
1.1%
1484 1
 
1.1%
7498 1
 
1.1%
3908 1
 
1.1%
1151 1
 
1.1%
835 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
72 1
 
1.1%
88 1
 
1.1%
179 1
 
1.1%
ValueCountFrequency (%)
19062 1
1.1%
14330 1
1.1%
12795 1
1.1%
12717 1
1.1%
12403 1
1.1%

317
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4904.804348
Minimum0
Maximum17824
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:05.934668image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11427.25
median3454
Q37684.75
95-th percentile12253.25
Maximum17824
Range17824
Interquartile range (IQR)6257.5

Descriptive statistics

Standard deviation4478.571795
Coefficient of variation (CV)0.9130989694
Kurtosis0.321171112
Mean4904.804348
Median Absolute Deviation (MAD)2915
Skewness0.9841141748
Sum451242
Variance20057605.32
MonotonicityNot monotonic
2022-12-08T10:53:06.085770image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2691 1
 
1.1%
1157 1
 
1.1%
2954 1
 
1.1%
1609 1
 
1.1%
8598 1
 
1.1%
4773 1
 
1.1%
1770 1
 
1.1%
728 1
 
1.1%
1971 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
5 1
 
1.1%
17 1
 
1.1%
76 1
 
1.1%
ValueCountFrequency (%)
17824 1
1.1%
17769 1
1.1%
17054 1
1.1%
14223 1
1.1%
12729 1
1.1%

318
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4909.76087
Minimum0
Maximum18968
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:06.245810image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11320.75
median3346.5
Q37952.75
95-th percentile13163.25
Maximum18968
Range18968
Interquartile range (IQR)6632

Descriptive statistics

Standard deviation4649.799789
Coefficient of variation (CV)0.947052191
Kurtosis0.2059015171
Mean4909.76087
Median Absolute Deviation (MAD)2849.5
Skewness0.9837644593
Sum451698
Variance21620638.07
MonotonicityNot monotonic
2022-12-08T10:53:06.396919image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2390 1
 
1.1%
1533 1
 
1.1%
2631 1
 
1.1%
1588 1
 
1.1%
8655 1
 
1.1%
4974 1
 
1.1%
1933 1
 
1.1%
657 1
 
1.1%
2725 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
7 1
 
1.1%
18 1
 
1.1%
48 1
 
1.1%
92 1
 
1.1%
ValueCountFrequency (%)
18968 1
1.1%
17623 1
1.1%
16434 1
1.1%
13673 1
1.1%
13298 1
1.1%

319
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5093.532609
Minimum0
Maximum21469
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:06.594422image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11543
median3267.5
Q38329.75
95-th percentile13906.55
Maximum21469
Range21469
Interquartile range (IQR)6786.75

Descriptive statistics

Standard deviation4840.780203
Coefficient of variation (CV)0.9503777781
Kurtosis0.3932008949
Mean5093.532609
Median Absolute Deviation (MAD)2903
Skewness1.018991088
Sum468605
Variance23433152.98
MonotonicityNot monotonic
2022-12-08T10:53:06.733475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2560 2
 
2.2%
2694 1
 
1.1%
1161 1
 
1.1%
2252 1
 
1.1%
1867 1
 
1.1%
10005 1
 
1.1%
4313 1
 
1.1%
2043 1
 
1.1%
763 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
37 1
 
1.1%
144 1
 
1.1%
168 1
 
1.1%
ValueCountFrequency (%)
21469 1
1.1%
16924 1
1.1%
15602 1
1.1%
15099 1
1.1%
14258 1
1.1%

320
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5071.706522
Minimum0
Maximum22168
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:06.911513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11557.5
median3361
Q38213.25
95-th percentile14118.85
Maximum22168
Range22168
Interquartile range (IQR)6655.75

Descriptive statistics

Standard deviation4877.465106
Coefficient of variation (CV)0.9617009748
Kurtosis1.150424719
Mean5071.706522
Median Absolute Deviation (MAD)2874.5
Skewness1.216328722
Sum466597
Variance23789665.86
MonotonicityNot monotonic
2022-12-08T10:53:07.051158image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
8717 2
 
2.2%
2316 1
 
1.1%
9387 1
 
1.1%
1948 1
 
1.1%
3599 1
 
1.1%
1563 1
 
1.1%
1428 1
 
1.1%
3979 1
 
1.1%
8937 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
136 1
 
1.1%
206 1
 
1.1%
240 1
 
1.1%
ValueCountFrequency (%)
22168 1
1.1%
19529 1
1.1%
16187 1
1.1%
15354 1
1.1%
14247 1
1.1%

321
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5244.163043
Minimum0
Maximum21231
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:07.238680image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.15
Q11708.75
median3374.5
Q37989.75
95-th percentile14381.65
Maximum21231
Range21231
Interquartile range (IQR)6281

Descriptive statistics

Standard deviation4950.0622
Coefficient of variation (CV)0.9439184402
Kurtosis0.4581182314
Mean5244.163043
Median Absolute Deviation (MAD)2931.5
Skewness1.069079509
Sum482463
Variance24503115.79
MonotonicityNot monotonic
2022-12-08T10:53:07.376206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
242 2
 
2.2%
2581 1
 
1.1%
7802 1
 
1.1%
2397 1
 
1.1%
3785 1
 
1.1%
2057 1
 
1.1%
10091 1
 
1.1%
5617 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
34 1
 
1.1%
126 1
 
1.1%
147 1
 
1.1%
ValueCountFrequency (%)
21231 1
1.1%
18743 1
1.1%
16605 1
1.1%
14691 1
1.1%
14490 1
1.1%

322
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4830.336957
Minimum0
Maximum20387
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:07.510368image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11215.5
median2880
Q38246
95-th percentile12944.05
Maximum20387
Range20387
Interquartile range (IQR)7030.5

Descriptive statistics

Standard deviation4693.435461
Coefficient of variation (CV)0.9716579822
Kurtosis0.5983005794
Mean4830.336957
Median Absolute Deviation (MAD)2497
Skewness1.102473005
Sum444391
Variance22028336.42
MonotonicityNot monotonic
2022-12-08T10:53:07.652020image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2675 1
 
1.1%
1343 1
 
1.1%
2588 1
 
1.1%
1541 1
 
1.1%
8281 1
 
1.1%
3040 1
 
1.1%
1093 1
 
1.1%
929 1
 
1.1%
1619 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%
57 1
 
1.1%
ValueCountFrequency (%)
20387 1
1.1%
18309 1
1.1%
15319 1
1.1%
14442 1
1.1%
13246 1
1.1%

323
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5370.032609
Minimum0
Maximum21099
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:07.808125image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11437
median3117.5
Q39287
95-th percentile15180.75
Maximum21099
Range21099
Interquartile range (IQR)7850

Descriptive statistics

Standard deviation5199.564913
Coefficient of variation (CV)0.9682557429
Kurtosis0.1172624606
Mean5370.032609
Median Absolute Deviation (MAD)2823.5
Skewness0.9983827738
Sum494043
Variance27035475.28
MonotonicityNot monotonic
2022-12-08T10:53:07.942208image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2828 2
 
2.2%
2705 1
 
1.1%
1661 1
 
1.1%
2746 1
 
1.1%
1374 1
 
1.1%
9178 1
 
1.1%
5352 1
 
1.1%
2060 1
 
1.1%
910 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
40 1
 
1.1%
73 1
 
1.1%
92 1
 
1.1%
131 1
 
1.1%
ValueCountFrequency (%)
21099 1
1.1%
19599 1
1.1%
16938 1
1.1%
15349 1
1.1%
15222 1
1.1%

324
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5509.51087
Minimum0
Maximum21834
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:08.096303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.35
Q11462.25
median3555
Q39147.75
95-th percentile14133.8
Maximum21834
Range21834
Interquartile range (IQR)7685.5

Descriptive statistics

Standard deviation5224.41251
Coefficient of variation (CV)0.9482534174
Kurtosis0.1803992792
Mean5509.51087
Median Absolute Deviation (MAD)2999
Skewness1.002956848
Sum506875
Variance27294486.08
MonotonicityNot monotonic
2022-12-08T10:53:08.227976image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4741 2
 
2.2%
0 2
 
2.2%
13224 1
 
1.1%
2483 1
 
1.1%
1474 1
 
1.1%
9703 1
 
1.1%
5141 1
 
1.1%
2095 1
 
1.1%
1077 1
 
1.1%
2936 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
6 1
1.1%
22 1
1.1%
39 1
1.1%
ValueCountFrequency (%)
21834 1
1.1%
18689 1
1.1%
18498 1
1.1%
15391 1
1.1%
14521 1
1.1%

325
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5841.641304
Minimum0
Maximum23489
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:08.356169image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.4
Q11785.5
median3878.5
Q39173.75
95-th percentile16001.4
Maximum23489
Range23489
Interquartile range (IQR)7388.25

Descriptive statistics

Standard deviation5479.462287
Coefficient of variation (CV)0.9380004697
Kurtosis0.7167166041
Mean5841.641304
Median Absolute Deviation (MAD)3490.5
Skewness1.120171669
Sum537431
Variance30024506.96
MonotonicityNot monotonic
2022-12-08T10:53:08.489319image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3338 1
 
1.1%
11861 1
 
1.1%
4213 1
 
1.1%
1872 1
 
1.1%
9257 1
 
1.1%
4689 1
 
1.1%
1526 1
 
1.1%
1353 1
 
1.1%
3516 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
9 1
 
1.1%
17 1
 
1.1%
22 1
 
1.1%
73 1
 
1.1%
ValueCountFrequency (%)
23489 1
1.1%
22296 1
1.1%
18510 1
1.1%
16636 1
1.1%
16316 1
1.1%

326
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3773.228261
Minimum0
Maximum16222
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:08.639448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1885.75
median2298.5
Q36655.75
95-th percentile9583.4
Maximum16222
Range16222
Interquartile range (IQR)5770

Descriptive statistics

Standard deviation3636.231318
Coefficient of variation (CV)0.9636923788
Kurtosis0.3829947752
Mean3773.228261
Median Absolute Deviation (MAD)2098.5
Skewness1.005007942
Sum347137
Variance13222178.2
MonotonicityNot monotonic
2022-12-08T10:53:08.805521image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2196 1
 
1.1%
677 1
 
1.1%
1587 1
 
1.1%
1395 1
 
1.1%
7431 1
 
1.1%
3097 1
 
1.1%
840 1
 
1.1%
388 1
 
1.1%
1760 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
14 1
 
1.1%
32 1
 
1.1%
126 1
 
1.1%
ValueCountFrequency (%)
16222 1
1.1%
12513 1
1.1%
12228 1
1.1%
10487 1
1.1%
9612 1
1.1%

327
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5736.923913
Minimum0
Maximum24263
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:08.966120image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.5
Q11550
median3358.5
Q38867.75
95-th percentile16273.95
Maximum24263
Range24263
Interquartile range (IQR)7317.75

Descriptive statistics

Standard deviation5567.525254
Coefficient of variation (CV)0.9704722145
Kurtosis0.7250333162
Mean5736.923913
Median Absolute Deviation (MAD)3084.5
Skewness1.138150993
Sum527797
Variance30997337.46
MonotonicityNot monotonic
2022-12-08T10:53:09.104264image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2853 1
 
1.1%
13447 1
 
1.1%
3631 1
 
1.1%
1875 1
 
1.1%
10627 1
 
1.1%
5040 1
 
1.1%
1769 1
 
1.1%
1460 1
 
1.1%
4035 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
32 1
 
1.1%
60 1
 
1.1%
132 1
 
1.1%
ValueCountFrequency (%)
24263 1
1.1%
21135 1
1.1%
18627 1
1.1%
18441 1
1.1%
16577 1
1.1%

328
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4494.097826
Minimum0
Maximum19635
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:09.234947image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1943
median2749.5
Q37138.75
95-th percentile12934.85
Maximum19635
Range19635
Interquartile range (IQR)6195.75

Descriptive statistics

Standard deviation4437.988823
Coefficient of variation (CV)0.9875149573
Kurtosis0.6408226995
Mean4494.097826
Median Absolute Deviation (MAD)2369
Skewness1.107736173
Sum413457
Variance19695744.79
MonotonicityNot monotonic
2022-12-08T10:53:09.388052image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2264 1
 
1.1%
1130 1
 
1.1%
2127 1
 
1.1%
1068 1
 
1.1%
6989 1
 
1.1%
3506 1
 
1.1%
1495 1
 
1.1%
780 1
 
1.1%
2289 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
13 1
 
1.1%
79 1
 
1.1%
105 1
 
1.1%
ValueCountFrequency (%)
19635 1
1.1%
16453 1
1.1%
14375 1
1.1%
13205 1
1.1%
13162 1
1.1%

329
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5107.521739
Minimum0
Maximum20823
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:09.553327image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.5
Q11369.75
median3153.5
Q38032.75
95-th percentile13422.65
Maximum20823
Range20823
Interquartile range (IQR)6663

Descriptive statistics

Standard deviation4861.000398
Coefficient of variation (CV)0.9517336677
Kurtosis0.6210558321
Mean5107.521739
Median Absolute Deviation (MAD)2952
Skewness1.082338608
Sum469892
Variance23629324.87
MonotonicityNot monotonic
2022-12-08T10:53:09.699453image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2389 1
 
1.1%
10477 1
 
1.1%
2886 1
 
1.1%
1649 1
 
1.1%
9445 1
 
1.1%
4735 1
 
1.1%
1640 1
 
1.1%
1330 1
 
1.1%
2803 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
5 1
 
1.1%
15 1
 
1.1%
27 1
 
1.1%
39 1
 
1.1%
ValueCountFrequency (%)
20823 1
1.1%
19026 1
1.1%
17454 1
1.1%
14885 1
1.1%
14004 1
1.1%

330
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5411.76087
Minimum0
Maximum21367
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:09.859064image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q11175.75
median3624.5
Q39328.25
95-th percentile14792.65
Maximum21367
Range21367
Interquartile range (IQR)8152.5

Descriptive statistics

Standard deviation5203.557045
Coefficient of variation (CV)0.9615275269
Kurtosis0.4431101654
Mean5411.76087
Median Absolute Deviation (MAD)3348
Skewness1.027034551
Sum497882
Variance27077005.92
MonotonicityNot monotonic
2022-12-08T10:53:10.040425image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2490 1
 
1.1%
1629 1
 
1.1%
4839 1
 
1.1%
1513 1
 
1.1%
9217 1
 
1.1%
4356 1
 
1.1%
1823 1
 
1.1%
995 1
 
1.1%
3032 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
6 1
 
1.1%
13 1
 
1.1%
17 1
 
1.1%
64 1
 
1.1%
ValueCountFrequency (%)
21367 1
1.1%
21288 1
1.1%
17543 1
1.1%
15006 1
1.1%
14890 1
1.1%

331
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5017.945652
Minimum0
Maximum20136
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:10.193536image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11316.25
median3122.5
Q39032.75
95-th percentile12792.75
Maximum20136
Range20136
Interquartile range (IQR)7716.5

Descriptive statistics

Standard deviation4791.5985
Coefficient of variation (CV)0.9548924664
Kurtosis0.3765457401
Mean5017.945652
Median Absolute Deviation (MAD)2799.5
Skewness1.020270401
Sum461651
Variance22959416.18
MonotonicityNot monotonic
2022-12-08T10:53:10.335197image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2769 1
 
1.1%
2461 1
 
1.1%
2758 1
 
1.1%
1759 1
 
1.1%
9041 1
 
1.1%
4085 1
 
1.1%
1322 1
 
1.1%
1155 1
 
1.1%
3883 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
14 1
 
1.1%
18 1
 
1.1%
104 1
 
1.1%
ValueCountFrequency (%)
20136 1
1.1%
18980 1
1.1%
16402 1
1.1%
13894 1
1.1%
13461 1
1.1%

332
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5923.184783
Minimum0
Maximum23161
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:10.487309image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11853
median3968
Q39056.5
95-th percentile16566.25
Maximum23161
Range23161
Interquartile range (IQR)7203.5

Descriptive statistics

Standard deviation5583.728838
Coefficient of variation (CV)0.9426902997
Kurtosis0.475685058
Mean5923.184783
Median Absolute Deviation (MAD)3242
Skewness1.073840181
Sum544933
Variance31178027.73
MonotonicityNot monotonic
2022-12-08T10:53:10.624981image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2444 2
 
2.2%
13 2
 
2.2%
2681 1
 
1.1%
2826 1
 
1.1%
2381 1
 
1.1%
11186 1
 
1.1%
4970 1
 
1.1%
2133 1
 
1.1%
1468 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
13 2
 
2.2%
82 1
 
1.1%
84 1
 
1.1%
ValueCountFrequency (%)
23161 1
1.1%
21911 1
1.1%
19317 1
1.1%
17912 1
1.1%
16690 1
1.1%

333
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4512.543478
Minimum0
Maximum18519
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:10.761574image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11236.75
median2988
Q37304
95-th percentile13231.75
Maximum18519
Range18519
Interquartile range (IQR)6067.25

Descriptive statistics

Standard deviation4376.41278
Coefficient of variation (CV)0.9698328229
Kurtosis0.4193998007
Mean4512.543478
Median Absolute Deviation (MAD)2666.5
Skewness1.072875975
Sum415154
Variance19152988.82
MonotonicityNot monotonic
2022-12-08T10:53:10.908696image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
183 2
 
2.2%
1 2
 
2.2%
11034 1
 
1.1%
9115 1
 
1.1%
2604 1
 
1.1%
2212 1
 
1.1%
1295 1
 
1.1%
8418 1
 
1.1%
3290 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
3 1
 
1.1%
6 1
 
1.1%
20 1
 
1.1%
ValueCountFrequency (%)
18519 1
1.1%
16211 1
1.1%
13931 1
1.1%
13864 1
1.1%
13790 1
1.1%

334
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4759.25
Minimum0
Maximum17159
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:11.061306image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11279
median3174
Q37421.5
95-th percentile12475.35
Maximum17159
Range17159
Interquartile range (IQR)6142.5

Descriptive statistics

Standard deviation4461.561387
Coefficient of variation (CV)0.93745052
Kurtosis0.04343390923
Mean4759.25
Median Absolute Deviation (MAD)2719
Skewness0.9819127073
Sum437851
Variance19905530.01
MonotonicityNot monotonic
2022-12-08T10:53:11.232874image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3238 2
 
2.2%
1 2
 
2.2%
2468 1
 
1.1%
6471 1
 
1.1%
2982 1
 
1.1%
1261 1
 
1.1%
7368 1
 
1.1%
4512 1
 
1.1%
1285 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
2 1
 
1.1%
15 1
 
1.1%
87 1
 
1.1%
ValueCountFrequency (%)
17159 1
1.1%
16691 1
1.1%
16136 1
1.1%
13731 1
1.1%
12664 1
1.1%

335
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5572.804348
Minimum0
Maximum22319
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:11.398942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11326.75
median3531
Q38791.25
95-th percentile16691.05
Maximum22319
Range22319
Interquartile range (IQR)7464.5

Descriptive statistics

Standard deviation5346.428127
Coefficient of variation (CV)0.9593784015
Kurtosis0.5143176521
Mean5572.804348
Median Absolute Deviation (MAD)3151.5
Skewness1.095556301
Sum512698
Variance28584293.72
MonotonicityNot monotonic
2022-12-08T10:53:11.554571image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 3
 
3.3%
7 2
 
2.2%
2059 1
 
1.1%
7332 1
 
1.1%
3096 1
 
1.1%
4245 1
 
1.1%
2044 1
 
1.1%
10042 1
 
1.1%
4472 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 3
3.3%
1 3
3.3%
7 2
2.2%
40 1
 
1.1%
176 1
 
1.1%
ValueCountFrequency (%)
22319 1
1.1%
19212 1
1.1%
18988 1
1.1%
18005 1
1.1%
17444 1
1.1%

336
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4170.608696
Minimum0
Maximum16784
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:11.720634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.5
Q11066.75
median2595.5
Q36777.75
95-th percentile11089.9
Maximum16784
Range16784
Interquartile range (IQR)5711

Descriptive statistics

Standard deviation4023.976771
Coefficient of variation (CV)0.964841601
Kurtosis0.439913446
Mean4170.608696
Median Absolute Deviation (MAD)2287
Skewness1.066886286
Sum383696
Variance16192389.05
MonotonicityNot monotonic
2022-12-08T10:53:11.901964image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1978 1
 
1.1%
8958 1
 
1.1%
1936 1
 
1.1%
971 1
 
1.1%
6698 1
 
1.1%
3573 1
 
1.1%
1322 1
 
1.1%
779 1
 
1.1%
2105 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
31 1
 
1.1%
62 1
 
1.1%
128 1
 
1.1%
ValueCountFrequency (%)
16784 1
1.1%
15731 1
1.1%
14285 1
1.1%
11192 1
1.1%
11157 1
1.1%

337
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5980.054348
Minimum0
Maximum23909
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:12.094472image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11951
median3867
Q39966.75
95-th percentile15916.5
Maximum23909
Range23909
Interquartile range (IQR)8015.75

Descriptive statistics

Standard deviation5583.100221
Coefficient of variation (CV)0.9336203145
Kurtosis0.2986395689
Mean5980.054348
Median Absolute Deviation (MAD)3410.5
Skewness1.001172677
Sum550165
Variance31171008.07
MonotonicityNot monotonic
2022-12-08T10:53:12.289980image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3206 1
 
1.1%
1962 1
 
1.1%
3734 1
 
1.1%
2044 1
 
1.1%
11700 1
 
1.1%
3827 1
 
1.1%
2125 1
 
1.1%
1429 1
 
1.1%
2602 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
18 1
 
1.1%
31 1
 
1.1%
67 1
 
1.1%
ValueCountFrequency (%)
23909 1
1.1%
20352 1
1.1%
19994 1
1.1%
16085 1
1.1%
15977 1
1.1%

338
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4550.445652
Minimum0
Maximum17707
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:12.470273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11449
median2760.5
Q37559.25
95-th percentile12819.8
Maximum17707
Range17707
Interquartile range (IQR)6110.25

Descriptive statistics

Standard deviation4345.455803
Coefficient of variation (CV)0.9549516983
Kurtosis0.3033543013
Mean4550.445652
Median Absolute Deviation (MAD)2579
Skewness1.030584349
Sum418641
Variance18882986.14
MonotonicityNot monotonic
2022-12-08T10:53:12.689710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2421 1
 
1.1%
1595 1
 
1.1%
3552 1
 
1.1%
1708 1
 
1.1%
8469 1
 
1.1%
4058 1
 
1.1%
1454 1
 
1.1%
1069 1
 
1.1%
2716 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
51 1
 
1.1%
73 1
 
1.1%
95 1
 
1.1%
ValueCountFrequency (%)
17707 1
1.1%
16993 1
1.1%
14746 1
1.1%
13390 1
1.1%
12899 1
1.1%

339
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4759.119565
Minimum0
Maximum19019
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:12.870243image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.4
Q11419.25
median3143.5
Q37607.25
95-th percentile12629.8
Maximum19019
Range19019
Interquartile range (IQR)6188

Descriptive statistics

Standard deviation4378.515707
Coefficient of variation (CV)0.920026414
Kurtosis0.2511529041
Mean4759.119565
Median Absolute Deviation (MAD)2926
Skewness0.9388048807
Sum437839
Variance19171399.8
MonotonicityNot monotonic
2022-12-08T10:53:13.092597image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
12 2
 
2.2%
1850 1
 
1.1%
1534 1
 
1.1%
2690 1
 
1.1%
1554 1
 
1.1%
9443 1
 
1.1%
4219 1
 
1.1%
2013 1
 
1.1%
838 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
12 2
2.2%
40 1
 
1.1%
41 1
 
1.1%
ValueCountFrequency (%)
19019 1
1.1%
15947 1
1.1%
14464 1
1.1%
13279 1
1.1%
13226 1
1.1%

340
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4595.771739
Minimum0
Maximum16909
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:13.238230image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.7
Q11427.5
median3296.5
Q37762.75
95-th percentile12676.95
Maximum16909
Range16909
Interquartile range (IQR)6335.25

Descriptive statistics

Standard deviation4205.629211
Coefficient of variation (CV)0.9151083756
Kurtosis0.260512562
Mean4595.771739
Median Absolute Deviation (MAD)2793
Skewness0.981520007
Sum422811
Variance17687317.06
MonotonicityNot monotonic
2022-12-08T10:53:13.382357image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2167 1
 
1.1%
9341 1
 
1.1%
3598 1
 
1.1%
1369 1
 
1.1%
8136 1
 
1.1%
3730 1
 
1.1%
1468 1
 
1.1%
777 1
 
1.1%
2486 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
35 1
 
1.1%
38 1
 
1.1%
48 1
 
1.1%
ValueCountFrequency (%)
16909 1
1.1%
16736 1
1.1%
14965 1
1.1%
13072 1
1.1%
12914 1
1.1%

341
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5172.467391
Minimum0
Maximum19377
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:13.534971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11455.5
median3169.5
Q38364.25
95-th percentile13691.4
Maximum19377
Range19377
Interquartile range (IQR)6908.75

Descriptive statistics

Standard deviation4894.750057
Coefficient of variation (CV)0.9463085384
Kurtosis0.07473730041
Mean5172.467391
Median Absolute Deviation (MAD)2738
Skewness0.9780762342
Sum475867
Variance23958578.12
MonotonicityNot monotonic
2022-12-08T10:53:13.686075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2619 1
 
1.1%
2943 1
 
1.1%
3055 1
 
1.1%
2078 1
 
1.1%
9369 1
 
1.1%
4600 1
 
1.1%
1521 1
 
1.1%
1304 1
 
1.1%
4358 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
5 1
 
1.1%
10 1
 
1.1%
26 1
 
1.1%
73 1
 
1.1%
ValueCountFrequency (%)
19377 1
1.1%
17966 1
1.1%
17859 1
1.1%
14887 1
1.1%
13753 1
1.1%

342
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5221.271739
Minimum0
Maximum21186
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:13.842679image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11363
median3002.5
Q39383
95-th percentile13683.75
Maximum21186
Range21186
Interquartile range (IQR)8020

Descriptive statistics

Standard deviation5011.691156
Coefficient of variation (CV)0.9598602422
Kurtosis0.02189415849
Mean5221.271739
Median Absolute Deviation (MAD)2810
Skewness0.951003886
Sum480357
Variance25117048.24
MonotonicityNot monotonic
2022-12-08T10:53:13.993786image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2696 1
 
1.1%
2116 1
 
1.1%
2453 1
 
1.1%
1202 1
 
1.1%
9980 1
 
1.1%
4678 1
 
1.1%
1373 1
 
1.1%
1031 1
 
1.1%
2740 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
4 1
 
1.1%
28 1
 
1.1%
30 1
 
1.1%
59 1
 
1.1%
ValueCountFrequency (%)
21186 1
1.1%
17784 1
1.1%
15645 1
1.1%
13968 1
1.1%
13714 1
1.1%

343
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5690.228261
Minimum0
Maximum22407
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:14.127939image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55
Q11595.5
median3195
Q39225.25
95-th percentile15078.05
Maximum22407
Range22407
Interquartile range (IQR)7629.75

Descriptive statistics

Standard deviation5581.787632
Coefficient of variation (CV)0.9809426575
Kurtosis0.136595555
Mean5690.228261
Median Absolute Deviation (MAD)2964
Skewness1.012021502
Sum523501
Variance31156353.17
MonotonicityNot monotonic
2022-12-08T10:53:14.260601image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2347 1
 
1.1%
12703 1
 
1.1%
2751 1
 
1.1%
1665 1
 
1.1%
9265 1
 
1.1%
5080 1
 
1.1%
1740 1
 
1.1%
1031 1
 
1.1%
2444 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
3 1
 
1.1%
4 1
 
1.1%
66 1
 
1.1%
ValueCountFrequency (%)
22407 1
1.1%
21540 1
1.1%
18454 1
1.1%
15773 1
1.1%
15314 1
1.1%

344
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4218.217391
Minimum0
Maximum14475
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:14.399487image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11109
median2845
Q37097.25
95-th percentile11911.6
Maximum14475
Range14475
Interquartile range (IQR)5988.25

Descriptive statistics

Standard deviation3889.46701
Coefficient of variation (CV)0.9220641445
Kurtosis-0.2385586524
Mean4218.217391
Median Absolute Deviation (MAD)2501
Skewness0.8638269503
Sum388076
Variance15127953.62
MonotonicityNot monotonic
2022-12-08T10:53:14.550104image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
10 2
 
2.2%
1641 1
 
1.1%
5753 1
 
1.1%
2739 1
 
1.1%
3095 1
 
1.1%
911 1
 
1.1%
7443 1
 
1.1%
4048 1
 
1.1%
1640 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
10 2
 
2.2%
43 1
 
1.1%
104 1
 
1.1%
ValueCountFrequency (%)
14475 1
1.1%
13546 1
1.1%
13442 1
1.1%
12554 1
1.1%
12543 1
1.1%

345
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4976.315217
Minimum0
Maximum17997
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:14.704204image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55
Q11443.75
median3105
Q38724.75
95-th percentile14341.95
Maximum17997
Range17997
Interquartile range (IQR)7281

Descriptive statistics

Standard deviation4674.936657
Coefficient of variation (CV)0.9394374055
Kurtosis-0.05042022107
Mean4976.315217
Median Absolute Deviation (MAD)2737.5
Skewness0.9395450042
Sum457821
Variance21855032.75
MonotonicityNot monotonic
2022-12-08T10:53:14.835872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2581 1
 
1.1%
10896 1
 
1.1%
2774 1
 
1.1%
1671 1
 
1.1%
8715 1
 
1.1%
5124 1
 
1.1%
1646 1
 
1.1%
1137 1
 
1.1%
3960 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
4 1
 
1.1%
20 1
 
1.1%
24 1
 
1.1%
ValueCountFrequency (%)
17997 1
1.1%
17171 1
1.1%
16242 1
1.1%
14789 1
1.1%
14535 1
1.1%

346
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5762.913043
Minimum0
Maximum23271
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:14.975412image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11802
median3276
Q39434.25
95-th percentile16365.15
Maximum23271
Range23271
Interquartile range (IQR)7632.25

Descriptive statistics

Standard deviation5584.298832
Coefficient of variation (CV)0.9690062629
Kurtosis0.3909584994
Mean5762.913043
Median Absolute Deviation (MAD)2976
Skewness1.076024804
Sum530188
Variance31184393.44
MonotonicityNot monotonic
2022-12-08T10:53:15.098595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1802 2
 
2.2%
3161 2
 
2.2%
2576 1
 
1.1%
480 1
 
1.1%
2712 1
 
1.1%
3846 1
 
1.1%
2117 1
 
1.1%
9543 1
 
1.1%
4773 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 6
6.5%
5 1
 
1.1%
9 1
 
1.1%
63 1
 
1.1%
178 1
 
1.1%
ValueCountFrequency (%)
23271 1
1.1%
21125 1
1.1%
18786 1
1.1%
16926 1
1.1%
16545 1
1.1%

347
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5083.467391
Minimum0
Maximum19205
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:15.247653image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11495.5
median3179.5
Q38326.5
95-th percentile13351.3
Maximum19205
Range19205
Interquartile range (IQR)6831

Descriptive statistics

Standard deviation4853.795199
Coefficient of variation (CV)0.9548197766
Kurtosis0.2215736455
Mean5083.467391
Median Absolute Deviation (MAD)2866
Skewness1.011793801
Sum467679
Variance23559327.83
MonotonicityNot monotonic
2022-12-08T10:53:15.386789image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2375 1
 
1.1%
1909 1
 
1.1%
4351 1
 
1.1%
1446 1
 
1.1%
8273 1
 
1.1%
4316 1
 
1.1%
1792 1
 
1.1%
1225 1
 
1.1%
2412 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
28 1
 
1.1%
114 1
 
1.1%
ValueCountFrequency (%)
19205 1
1.1%
19176 1
1.1%
16995 1
1.1%
14670 1
1.1%
13370 1
1.1%

348
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4822
Minimum0
Maximum19299
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:15.546387image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11447
median2893.5
Q37804.5
95-th percentile12856.65
Maximum19299
Range19299
Interquartile range (IQR)6357.5

Descriptive statistics

Standard deviation4699.927126
Coefficient of variation (CV)0.9746841821
Kurtosis0.9138309307
Mean4822
Median Absolute Deviation (MAD)2636
Skewness1.176172621
Sum443624
Variance22089314.99
MonotonicityNot monotonic
2022-12-08T10:53:15.697205image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2697 1
 
1.1%
1825 1
 
1.1%
3411 1
 
1.1%
1895 1
 
1.1%
7777 1
 
1.1%
3717 1
 
1.1%
1170 1
 
1.1%
1414 1
 
1.1%
1926 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
33 1
 
1.1%
69 1
 
1.1%
91 1
 
1.1%
ValueCountFrequency (%)
19299 1
1.1%
19089 1
1.1%
18864 1
1.1%
13256 1
1.1%
13075 1
1.1%

349
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5441.836957
Minimum0
Maximum22319
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:15.843829image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11615
median3484.5
Q38111.25
95-th percentile14538.15
Maximum22319
Range22319
Interquartile range (IQR)6496.25

Descriptive statistics

Standard deviation5219.989633
Coefficient of variation (CV)0.959233008
Kurtosis0.8479447453
Mean5441.836957
Median Absolute Deviation (MAD)3073.5
Skewness1.160206748
Sum500649
Variance27248291.76
MonotonicityNot monotonic
2022-12-08T10:53:15.964014image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2469 1
 
1.1%
2115 1
 
1.1%
3476 1
 
1.1%
1627 1
 
1.1%
8274 1
 
1.1%
4068 1
 
1.1%
1718 1
 
1.1%
1119 1
 
1.1%
3399 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
21 1
 
1.1%
42 1
 
1.1%
49 1
 
1.1%
ValueCountFrequency (%)
22319 1
1.1%
20519 1
1.1%
19674 1
1.1%
16841 1
1.1%
14663 1
1.1%

350
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5134.978261
Minimum0
Maximum20665
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:16.118128image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11544.75
median3247.5
Q38332.5
95-th percentile14584.8
Maximum20665
Range20665
Interquartile range (IQR)6787.75

Descriptive statistics

Standard deviation4861.509608
Coefficient of variation (CV)0.9467439512
Kurtosis0.3724582124
Mean5134.978261
Median Absolute Deviation (MAD)2873.5
Skewness1.04399897
Sum472418
Variance23634275.67
MonotonicityNot monotonic
2022-12-08T10:53:16.272736image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
442 2
 
2.2%
2454 1
 
1.1%
11363 1
 
1.1%
1860 1
 
1.1%
10253 1
 
1.1%
4619 1
 
1.1%
1826 1
 
1.1%
1324 1
 
1.1%
3391 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
3 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
20665 1
1.1%
17559 1
1.1%
16316 1
1.1%
16053 1
1.1%
15016 1
1.1%

351
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4980.913043
Minimum0
Maximum20209
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:16.438231image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.4
Q11185
median3117
Q38384.75
95-th percentile14007.6
Maximum20209
Range20209
Interquartile range (IQR)7199.75

Descriptive statistics

Standard deviation4890.291175
Coefficient of variation (CV)0.9818061733
Kurtosis0.7237848518
Mean4980.913043
Median Absolute Deviation (MAD)2932
Skewness1.129543191
Sum458244
Variance23914947.77
MonotonicityNot monotonic
2022-12-08T10:53:16.607287image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2047 1
 
1.1%
9778 1
 
1.1%
2498 1
 
1.1%
1563 1
 
1.1%
8711 1
 
1.1%
3328 1
 
1.1%
1599 1
 
1.1%
979 1
 
1.1%
1264 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
29 1
 
1.1%
44 1
 
1.1%
134 1
 
1.1%
ValueCountFrequency (%)
20209 1
1.1%
19903 1
1.1%
17802 1
1.1%
14882 1
1.1%
14309 1
1.1%

352
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4650.73913
Minimum0
Maximum19020
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:16.749933image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.85
Q11411
median2995
Q38327
95-th percentile12631.9
Maximum19020
Range19020
Interquartile range (IQR)6916

Descriptive statistics

Standard deviation4372.14711
Coefficient of variation (CV)0.9400972592
Kurtosis0.2322234013
Mean4650.73913
Median Absolute Deviation (MAD)2623.5
Skewness0.9823467942
Sum427868
Variance19115670.35
MonotonicityNot monotonic
2022-12-08T10:53:16.890069image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2432 1
 
1.1%
10050 1
 
1.1%
2565 1
 
1.1%
1563 1
 
1.1%
8719 1
 
1.1%
3828 1
 
1.1%
2337 1
 
1.1%
1062 1
 
1.1%
3136 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
6 1
 
1.1%
13 1
 
1.1%
20 1
 
1.1%
47 1
 
1.1%
ValueCountFrequency (%)
19020 1
1.1%
15667 1
1.1%
13825 1
1.1%
12993 1
1.1%
12721 1
1.1%

353
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4534.891304
Minimum0
Maximum17964
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:17.034629image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q11038.25
median3079
Q37244.25
95-th percentile13288.5
Maximum17964
Range17964
Interquartile range (IQR)6206

Descriptive statistics

Standard deviation4434.593415
Coefficient of variation (CV)0.9778830665
Kurtosis0.198414368
Mean4534.891304
Median Absolute Deviation (MAD)2709
Skewness1.043327605
Sum417210
Variance19665618.76
MonotonicityNot monotonic
2022-12-08T10:53:17.162314image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2077 1
 
1.1%
9492 1
 
1.1%
2297 1
 
1.1%
1042 1
 
1.1%
8791 1
 
1.1%
3504 1
 
1.1%
1478 1
 
1.1%
1027 1
 
1.1%
1812 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
5 1
 
1.1%
136 1
 
1.1%
151 1
 
1.1%
ValueCountFrequency (%)
17964 1
1.1%
15567 1
1.1%
15456 1
1.1%
13913 1
1.1%
13855 1
1.1%

354
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5274.26087
Minimum0
Maximum19411
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:17.306442image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11467.25
median3145.5
Q39129.75
95-th percentile14327.1
Maximum19411
Range19411
Interquartile range (IQR)7662.5

Descriptive statistics

Standard deviation5034.561755
Coefficient of variation (CV)0.9545530415
Kurtosis0.0346677713
Mean5274.26087
Median Absolute Deviation (MAD)2857.5
Skewness0.9736403637
Sum485232
Variance25346812.06
MonotonicityNot monotonic
2022-12-08T10:53:17.448095image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2 2
 
2.2%
2508 1
 
1.1%
9346 1
 
1.1%
2814 1
 
1.1%
2831 1
 
1.1%
1930 1
 
1.1%
8777 1
 
1.1%
4185 1
 
1.1%
1584 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
2 2
 
2.2%
44 1
 
1.1%
175 1
 
1.1%
189 1
 
1.1%
ValueCountFrequency (%)
19411 1
1.1%
18848 1
1.1%
18109 1
1.1%
15400 1
1.1%
14337 1
1.1%

355
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4673.456522
Minimum0
Maximum17166
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:17.624140image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11308
median2911.5
Q37681.5
95-th percentile13209
Maximum17166
Range17166
Interquartile range (IQR)6373.5

Descriptive statistics

Standard deviation4456.906409
Coefficient of variation (CV)0.953663822
Kurtosis-0.02486947304
Mean4673.456522
Median Absolute Deviation (MAD)2569
Skewness0.9884115403
Sum429958
Variance19864014.73
MonotonicityNot monotonic
2022-12-08T10:53:17.751266image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
135 2
 
2.2%
1992 1
 
1.1%
6746 1
 
1.1%
3063 1
 
1.1%
1834 1
 
1.1%
7908 1
 
1.1%
4251 1
 
1.1%
1794 1
 
1.1%
1113 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
3 1
 
1.1%
5 1
 
1.1%
32 1
 
1.1%
ValueCountFrequency (%)
17166 1
1.1%
15813 1
1.1%
15768 1
1.1%
13449 1
1.1%
13330 1
1.1%

356
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4909.978261
Minimum0
Maximum19306
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:17.899378image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11341.25
median3129.5
Q38091.5
95-th percentile13320.25
Maximum19306
Range19306
Interquartile range (IQR)6750.25

Descriptive statistics

Standard deviation4700.929303
Coefficient of variation (CV)0.9574236489
Kurtosis0.103496746
Mean4909.978261
Median Absolute Deviation (MAD)2780.5
Skewness0.9937916299
Sum451718
Variance22098736.31
MonotonicityNot monotonic
2022-12-08T10:53:18.029545image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2464 1
 
1.1%
1976 1
 
1.1%
3709 1
 
1.1%
2048 1
 
1.1%
9533 1
 
1.1%
3834 1
 
1.1%
1849 1
 
1.1%
1276 1
 
1.1%
2705 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
4 1
 
1.1%
73 1
 
1.1%
ValueCountFrequency (%)
19306 1
1.1%
16247 1
1.1%
15913 1
1.1%
15488 1
1.1%
13499 1
1.1%

357
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4512.815217
Minimum0
Maximum18189
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:18.188137image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11190.25
median2707.5
Q37519.25
95-th percentile12715
Maximum18189
Range18189
Interquartile range (IQR)6329

Descriptive statistics

Standard deviation4508.445084
Coefficient of variation (CV)0.999031617
Kurtosis0.3975205877
Mean4512.815217
Median Absolute Deviation (MAD)2420.5
Skewness1.097041627
Sum415179
Variance20326077.08
MonotonicityNot monotonic
2022-12-08T10:53:18.333869image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2330 1
 
1.1%
1222 1
 
1.1%
2197 1
 
1.1%
1324 1
 
1.1%
7631 1
 
1.1%
3361 1
 
1.1%
1393 1
 
1.1%
946 1
 
1.1%
2051 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
26 1
 
1.1%
59 1
 
1.1%
69 1
 
1.1%
120 1
 
1.1%
ValueCountFrequency (%)
18189 1
1.1%
17048 1
1.1%
16328 1
1.1%
13804 1
1.1%
13122 1
1.1%

358
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4576.021739
Minimum0
Maximum17740
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:18.473520image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11233
median2777
Q37860.75
95-th percentile12680.15
Maximum17740
Range17740
Interquartile range (IQR)6627.75

Descriptive statistics

Standard deviation4406.573736
Coefficient of variation (CV)0.9629704549
Kurtosis0.2944296397
Mean4576.021739
Median Absolute Deviation (MAD)2545.5
Skewness1.033304475
Sum420994
Variance19417892.09
MonotonicityNot monotonic
2022-12-08T10:53:18.594713image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2603 2
 
2.2%
2958 1
 
1.1%
1553 1
 
1.1%
1480 1
 
1.1%
9017 1
 
1.1%
3934 1
 
1.1%
1500 1
 
1.1%
966 1
 
1.1%
3162 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
4 1
 
1.1%
21 1
 
1.1%
58 1
 
1.1%
136 1
 
1.1%
ValueCountFrequency (%)
17740 1
1.1%
17066 1
1.1%
15512 1
1.1%
12857 1
1.1%
12739 1
1.1%

359
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6126.48913
Minimum0
Maximum26575
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:18.728871image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.1
Q11859
median3980.5
Q39923.25
95-th percentile15848.55
Maximum26575
Range26575
Interquartile range (IQR)8064.25

Descriptive statistics

Standard deviation5778.10388
Coefficient of variation (CV)0.9431346008
Kurtosis0.7550797478
Mean6126.48913
Median Absolute Deviation (MAD)3335
Skewness1.103739443
Sum563637
Variance33386484.45
MonotonicityNot monotonic
2022-12-08T10:53:18.862220image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
2.2%
11398 2
 
2.2%
0 2
 
2.2%
3027 1
 
1.1%
3122 1
 
1.1%
4158 1
 
1.1%
2524 1
 
1.1%
11588 1
 
1.1%
4602 1
 
1.1%
2356 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 2
2.2%
1 2
2.2%
4 1
1.1%
6 1
1.1%
9 1
1.1%
ValueCountFrequency (%)
26575 1
1.1%
20686 1
1.1%
18989 1
1.1%
18704 1
1.1%
16211 1
1.1%

360
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4834.793478
Minimum0
Maximum21453
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:18.993386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q11464
median2931
Q38489.5
95-th percentile12049.3
Maximum21453
Range21453
Interquartile range (IQR)7025.5

Descriptive statistics

Standard deviation4568.662085
Coefficient of variation (CV)0.9449549614
Kurtosis0.9013751699
Mean4834.793478
Median Absolute Deviation (MAD)2574
Skewness1.096480769
Sum444801
Variance20872673.24
MonotonicityNot monotonic
2022-12-08T10:53:19.116482image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2089 1
 
1.1%
10306 1
 
1.1%
3850 1
 
1.1%
1753 1
 
1.1%
9759 1
 
1.1%
3567 1
 
1.1%
1553 1
 
1.1%
1422 1
 
1.1%
3568 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
5 1
 
1.1%
15 1
 
1.1%
35 1
 
1.1%
ValueCountFrequency (%)
21453 1
1.1%
15987 1
1.1%
15638 1
1.1%
15511 1
1.1%
12068 1
1.1%

361
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4667.565217
Minimum0
Maximum18010
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:19.252432image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11268.5
median2979.5
Q37475.5
95-th percentile12160.7
Maximum18010
Range18010
Interquartile range (IQR)6207

Descriptive statistics

Standard deviation4465.810819
Coefficient of variation (CV)0.9567752374
Kurtosis0.5230364421
Mean4667.565217
Median Absolute Deviation (MAD)2619
Skewness1.089498284
Sum429416
Variance19943466.27
MonotonicityNot monotonic
2022-12-08T10:53:19.377613image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
4096 2
 
2.2%
2458 1
 
1.1%
1895 1
 
1.1%
3510 1
 
1.1%
1993 1
 
1.1%
8106 1
 
1.1%
1291 1
 
1.1%
1136 1
 
1.1%
2997 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
12 1
 
1.1%
26 1
 
1.1%
55 1
 
1.1%
92 1
 
1.1%
ValueCountFrequency (%)
18010 1
1.1%
17753 1
1.1%
16781 1
1.1%
13876 1
1.1%
12505 1
1.1%

362
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5473.75
Minimum0
Maximum21246
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:19.512764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.55
Q11566.5
median3700
Q39200.75
95-th percentile14743.15
Maximum21246
Range21246
Interquartile range (IQR)7634.25

Descriptive statistics

Standard deviation5090.334907
Coefficient of variation (CV)0.9299538537
Kurtosis0.2695574626
Mean5473.75
Median Absolute Deviation (MAD)3315
Skewness0.9718368775
Sum503585
Variance25911509.46
MonotonicityNot monotonic
2022-12-08T10:53:19.644432image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
11334 2
 
2.2%
15132 1
 
1.1%
1821 1
 
1.1%
10453 1
 
1.1%
5291 1
 
1.1%
2242 1
 
1.1%
1066 1
 
1.1%
2659 1
 
1.1%
8121 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%
74 1
 
1.1%
ValueCountFrequency (%)
21246 1
1.1%
19794 1
1.1%
17113 1
1.1%
15804 1
1.1%
15132 1
1.1%

363
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4972.086957
Minimum0
Maximum20628
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:19.777591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q11505.75
median3190
Q38476.75
95-th percentile13412.4
Maximum20628
Range20628
Interquartile range (IQR)6971

Descriptive statistics

Standard deviation4711.355435
Coefficient of variation (CV)0.947560949
Kurtosis0.4891254658
Mean4972.086957
Median Absolute Deviation (MAD)2902.5
Skewness1.051041058
Sum457432
Variance22196870.04
MonotonicityNot monotonic
2022-12-08T10:53:19.905760image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2536 1
 
1.1%
10197 1
 
1.1%
3626 1
 
1.1%
1951 1
 
1.1%
9344 1
 
1.1%
5385 1
 
1.1%
1510 1
 
1.1%
1211 1
 
1.1%
2503 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
4 1
 
1.1%
24 1
 
1.1%
51 1
 
1.1%
ValueCountFrequency (%)
20628 1
1.1%
17222 1
1.1%
16011 1
1.1%
14951 1
1.1%
13683 1
1.1%

364
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4414.304348
Minimum0
Maximum16231
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:20.033925image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11203
median2734.5
Q37212.75
95-th percentile12011.25
Maximum16231
Range16231
Interquartile range (IQR)6009.75

Descriptive statistics

Standard deviation4214.860205
Coefficient of variation (CV)0.9548186696
Kurtosis-0.05905335754
Mean4414.304348
Median Absolute Deviation (MAD)2459
Skewness0.9679268615
Sum406116
Variance17765046.54
MonotonicityNot monotonic
2022-12-08T10:53:20.158184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
250 2
 
2.2%
2603 1
 
1.1%
8093 1
 
1.1%
2275 1
 
1.1%
3035 1
 
1.1%
1575 1
 
1.1%
8723 1
 
1.1%
2984 1
 
1.1%
1176 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
13 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
72 1
 
1.1%
ValueCountFrequency (%)
16231 1
1.1%
15830 1
1.1%
14215 1
1.1%
12539 1
1.1%
12135 1
1.1%

365
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4936.597826
Minimum0
Maximum20115
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:20.302339image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11410
median3704.5
Q37682.75
95-th percentile13241.05
Maximum20115
Range20115
Interquartile range (IQR)6272.75

Descriptive statistics

Standard deviation4606.884702
Coefficient of variation (CV)0.9332104548
Kurtosis0.5985048546
Mean4936.597826
Median Absolute Deviation (MAD)2630.5
Skewness1.081458262
Sum454167
Variance21223386.66
MonotonicityNot monotonic
2022-12-08T10:53:20.440485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1410 2
 
2.2%
2332 1
 
1.1%
2449 1
 
1.1%
4070 1
 
1.1%
1728 1
 
1.1%
8581 1
 
1.1%
3738 1
 
1.1%
1537 1
 
1.1%
1267 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
8 1
 
1.1%
12 1
 
1.1%
114 1
 
1.1%
ValueCountFrequency (%)
20115 1
1.1%
17932 1
1.1%
15606 1
1.1%
13405 1
1.1%
13301 1
1.1%

366
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5938.326087
Minimum0
Maximum22398
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:20.583574image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.85
Q11785.5
median4006.5
Q39172.25
95-th percentile15920.05
Maximum22398
Range22398
Interquartile range (IQR)7386.75

Descriptive statistics

Standard deviation5551.08138
Coefficient of variation (CV)0.9347889117
Kurtosis0.3053014164
Mean5938.326087
Median Absolute Deviation (MAD)3221.5
Skewness1.042765664
Sum546326
Variance30814504.49
MonotonicityNot monotonic
2022-12-08T10:53:20.718217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2477 1
 
1.1%
11304 1
 
1.1%
3553 1
 
1.1%
1974 1
 
1.1%
7636 1
 
1.1%
5653 1
 
1.1%
1418 1
 
1.1%
1201 1
 
1.1%
2563 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
8 1
 
1.1%
53 1
 
1.1%
95 1
 
1.1%
ValueCountFrequency (%)
22398 1
1.1%
20582 1
1.1%
20042 1
1.1%
18778 1
1.1%
15991 1
1.1%

367
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5992.543478
Minimum0
Maximum25688
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:20.845903image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q11492.5
median4312.5
Q39390.25
95-th percentile15581
Maximum25688
Range25688
Interquartile range (IQR)7897.75

Descriptive statistics

Standard deviation5679.14742
Coefficient of variation (CV)0.9477023305
Kurtosis0.9798330477
Mean5992.543478
Median Absolute Deviation (MAD)3796.5
Skewness1.130202245
Sum551314
Variance32252715.42
MonotonicityNot monotonic
2022-12-08T10:53:21.023977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
341 2
 
2.2%
5 2
 
2.2%
2388 1
 
1.1%
4443 1
 
1.1%
2498 1
 
1.1%
10482 1
 
1.1%
4720 1
 
1.1%
2016 1
 
1.1%
1509 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
5 2
2.2%
24 1
 
1.1%
52 1
 
1.1%
ValueCountFrequency (%)
25688 1
1.1%
23225 1
1.1%
19064 1
1.1%
15633 1
1.1%
15603 1
1.1%

368
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4682.445652
Minimum0
Maximum17918
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:21.178592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.55
Q11292.25
median3046.5
Q37287
95-th percentile12542.1
Maximum17918
Range17918
Interquartile range (IQR)5994.75

Descriptive statistics

Standard deviation4347.774816
Coefficient of variation (CV)0.9285264879
Kurtosis0.1048810209
Mean4682.445652
Median Absolute Deviation (MAD)2653.5
Skewness0.9821114946
Sum430785
Variance18903145.85
MonotonicityNot monotonic
2022-12-08T10:53:21.305770image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
209 2
 
2.2%
2168 1
 
1.1%
2468 1
 
1.1%
3070 1
 
1.1%
1836 1
 
1.1%
8656 1
 
1.1%
4122 1
 
1.1%
1315 1
 
1.1%
1224 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
3 1
 
1.1%
80 1
 
1.1%
81 1
 
1.1%
ValueCountFrequency (%)
17918 1
1.1%
16084 1
1.1%
14450 1
1.1%
13079 1
1.1%
12728 1
1.1%

369
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4829.130435
Minimum0
Maximum19178
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:21.455389image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11632.5
median2856
Q38455.5
95-th percentile12815.75
Maximum19178
Range19178
Interquartile range (IQR)6823

Descriptive statistics

Standard deviation4599.007856
Coefficient of variation (CV)0.9523469945
Kurtosis0.1251067854
Mean4829.130435
Median Absolute Deviation (MAD)2463.5
Skewness0.9880351153
Sum444280
Variance21150873.26
MonotonicityNot monotonic
2022-12-08T10:53:21.609755image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2829 1
 
1.1%
2282 1
 
1.1%
2668 1
 
1.1%
1834 1
 
1.1%
9387 1
 
1.1%
3156 1
 
1.1%
1992 1
 
1.1%
1071 1
 
1.1%
3120 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
5 1
 
1.1%
21 1
 
1.1%
39 1
 
1.1%
ValueCountFrequency (%)
19178 1
1.1%
17348 1
1.1%
14576 1
1.1%
13291 1
1.1%
12901 1
1.1%

370
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5475.25
Minimum0
Maximum23751
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:21.768104image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11555.5
median3505.5
Q38840.5
95-th percentile14274.5
Maximum23751
Range23751
Interquartile range (IQR)7285

Descriptive statistics

Standard deviation5272.069835
Coefficient of variation (CV)0.962891162
Kurtosis0.8271618207
Mean5475.25
Median Absolute Deviation (MAD)3056.5
Skewness1.131233737
Sum503723
Variance27794720.34
MonotonicityNot monotonic
2022-12-08T10:53:21.903259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3326 1
 
1.1%
2211 1
 
1.1%
3331 1
 
1.1%
2122 1
 
1.1%
8758 1
 
1.1%
4543 1
 
1.1%
1848 1
 
1.1%
1503 1
 
1.1%
3616 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
12 1
 
1.1%
25 1
 
1.1%
82 1
 
1.1%
113 1
 
1.1%
ValueCountFrequency (%)
23751 1
1.1%
19760 1
1.1%
18120 1
1.1%
17168 1
1.1%
14291 1
1.1%

371
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5635.293478
Minimum0
Maximum23196
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:22.028440image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11355.5
median3606
Q39218.25
95-th percentile14745.25
Maximum23196
Range23196
Interquartile range (IQR)7862.75

Descriptive statistics

Standard deviation5320.183149
Coefficient of variation (CV)0.9440827118
Kurtosis0.5906391553
Mean5635.293478
Median Absolute Deviation (MAD)3351
Skewness1.052676843
Sum518447
Variance28304348.74
MonotonicityNot monotonic
2022-12-08T10:53:22.152138image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3396 1
 
1.1%
1986 1
 
1.1%
2698 1
 
1.1%
1303 1
 
1.1%
10743 1
 
1.1%
7033 1
 
1.1%
2124 1
 
1.1%
1011 1
 
1.1%
2626 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
49 1
 
1.1%
118 1
 
1.1%
167 1
 
1.1%
ValueCountFrequency (%)
23196 1
1.1%
20816 1
1.1%
18200 1
1.1%
16088 1
1.1%
14913 1
1.1%

372
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5116.652174
Minimum0
Maximum20296
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:22.300259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11630.5
median3804.5
Q37818.25
95-th percentile13281.05
Maximum20296
Range20296
Interquartile range (IQR)6187.75

Descriptive statistics

Standard deviation4729.498185
Coefficient of variation (CV)0.9243345111
Kurtosis0.641547401
Mean5116.652174
Median Absolute Deviation (MAD)3034.5
Skewness1.087814917
Sum470732
Variance22368153.09
MonotonicityNot monotonic
2022-12-08T10:53:22.434415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2464 1
 
1.1%
2187 1
 
1.1%
3729 1
 
1.1%
2162 1
 
1.1%
8439 1
 
1.1%
4457 1
 
1.1%
2066 1
 
1.1%
1357 1
 
1.1%
3880 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
23 1
 
1.1%
34 1
 
1.1%
67 1
 
1.1%
ValueCountFrequency (%)
20296 1
1.1%
18313 1
1.1%
17072 1
1.1%
15158 1
1.1%
13352 1
1.1%

373
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4103.934783
Minimum0
Maximum15321
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:22.596429image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11113.5
median2599
Q36794.25
95-th percentile11093.8
Maximum15321
Range15321
Interquartile range (IQR)5680.75

Descriptive statistics

Standard deviation3852.395478
Coefficient of variation (CV)0.9387077724
Kurtosis0.1375508046
Mean4103.934783
Median Absolute Deviation (MAD)2087
Skewness1.017405707
Sum377562
Variance14840950.92
MonotonicityNot monotonic
2022-12-08T10:53:22.722601image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2602 1
 
1.1%
938 1
 
1.1%
2244 1
 
1.1%
1727 1
 
1.1%
6766 1
 
1.1%
3138 1
 
1.1%
974 1
 
1.1%
969 1
 
1.1%
1600 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
50 1
 
1.1%
166 1
 
1.1%
177 1
 
1.1%
179 1
 
1.1%
ValueCountFrequency (%)
15321 1
1.1%
14887 1
1.1%
12988 1
1.1%
11516 1
1.1%
11305 1
1.1%

374
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5360.913043
Minimum0
Maximum18473
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:22.851692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.5
Q11528
median3662
Q38489.75
95-th percentile15452.1
Maximum18473
Range18473
Interquartile range (IQR)6961.75

Descriptive statistics

Standard deviation4980.400272
Coefficient of variation (CV)0.9290209022
Kurtosis0.25188401
Mean5360.913043
Median Absolute Deviation (MAD)3066.5
Skewness1.006934918
Sum493204
Variance24804386.87
MonotonicityNot monotonic
2022-12-08T10:53:22.977868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2014 1
 
1.1%
11149 1
 
1.1%
3331 1
 
1.1%
1683 1
 
1.1%
8056 1
 
1.1%
5162 1
 
1.1%
2203 1
 
1.1%
1266 1
 
1.1%
3178 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
11 1
 
1.1%
22 1
 
1.1%
61 1
 
1.1%
ValueCountFrequency (%)
18473 1
1.1%
18437 1
1.1%
18301 1
1.1%
17783 1
1.1%
16991 1
1.1%

375
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5954.25
Minimum0
Maximum22989
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:23.107040image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11719.25
median3843
Q310315.5
95-th percentile16159.1
Maximum22989
Range22989
Interquartile range (IQR)8596.25

Descriptive statistics

Standard deviation5682.802519
Coefficient of variation (CV)0.9544111382
Kurtosis0.4458283592
Mean5954.25
Median Absolute Deviation (MAD)3416
Skewness1.057744467
Sum547791
Variance32294244.48
MonotonicityNot monotonic
2022-12-08T10:53:23.245191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2866 1
 
1.1%
2379 1
 
1.1%
4427 1
 
1.1%
1750 1
 
1.1%
11125 1
 
1.1%
5609 1
 
1.1%
2001 1
 
1.1%
1507 1
 
1.1%
3690 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
8 1
 
1.1%
16 1
 
1.1%
51 1
 
1.1%
ValueCountFrequency (%)
22989 1
1.1%
22976 1
1.1%
20243 1
1.1%
16449 1
1.1%
16301 1
1.1%

376
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7110.228261
Minimum0
Maximum27118
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:23.375510image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.15
Q11960.75
median4090
Q311141
95-th percentile19739.8
Maximum27118
Range27118
Interquartile range (IQR)9180.25

Descriptive statistics

Standard deviation6987.636051
Coefficient of variation (CV)0.98275833
Kurtosis0.4199295357
Mean7110.228261
Median Absolute Deviation (MAD)3718.5
Skewness1.104353793
Sum654141
Variance48827057.58
MonotonicityNot monotonic
2022-12-08T10:53:23.508673image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3554 1
 
1.1%
16327 1
 
1.1%
3695 1
 
1.1%
2163 1
 
1.1%
13514 1
 
1.1%
5735 1
 
1.1%
2099 1
 
1.1%
1297 1
 
1.1%
3487 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
37 1
 
1.1%
50 1
 
1.1%
69 1
 
1.1%
117 1
 
1.1%
ValueCountFrequency (%)
27118 1
1.1%
26774 1
1.1%
26446 1
1.1%
22169 1
1.1%
19896 1
1.1%

377
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5417.097826
Minimum0
Maximum22006
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:23.644825image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11685
median3396.5
Q39461.25
95-th percentile14971.75
Maximum22006
Range22006
Interquartile range (IQR)7776.25

Descriptive statistics

Standard deviation5158.107997
Coefficient of variation (CV)0.9521902987
Kurtosis0.3348967887
Mean5417.097826
Median Absolute Deviation (MAD)2983.5
Skewness1.032285874
Sum498373
Variance26606078.11
MonotonicityNot monotonic
2022-12-08T10:53:23.769175image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2997 1
 
1.1%
1912 1
 
1.1%
3769 1
 
1.1%
1738 1
 
1.1%
9450 1
 
1.1%
4810 1
 
1.1%
1667 1
 
1.1%
1190 1
 
1.1%
3524 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
14 1
 
1.1%
80 1
 
1.1%
ValueCountFrequency (%)
22006 1
1.1%
18872 1
1.1%
17368 1
1.1%
15820 1
1.1%
15387 1
1.1%

378
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4309.152174
Minimum0
Maximum18596
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:23.905328image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.8
Q11392.5
median2880
Q37236.25
95-th percentile11690.35
Maximum18596
Range18596
Interquartile range (IQR)5843.75

Descriptive statistics

Standard deviation4039.791051
Coefficient of variation (CV)0.9374909235
Kurtosis0.8039483932
Mean4309.152174
Median Absolute Deviation (MAD)2418.5
Skewness1.097402131
Sum396442
Variance16319911.73
MonotonicityNot monotonic
2022-12-08T10:53:24.034500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1485 2
 
2.2%
2016 1
 
1.1%
1480 1
 
1.1%
2590 1
 
1.1%
1462 1
 
1.1%
6851 1
 
1.1%
3494 1
 
1.1%
919 1
 
1.1%
956 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
2 1
 
1.1%
6 1
 
1.1%
22 1
 
1.1%
28 1
 
1.1%
ValueCountFrequency (%)
18596 1
1.1%
15063 1
1.1%
13453 1
1.1%
12643 1
1.1%
11703 1
1.1%

379
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5188.173913
Minimum0
Maximum21482
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:24.166184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11664.75
median3219
Q38545.75
95-th percentile13341.5
Maximum21482
Range21482
Interquartile range (IQR)6881

Descriptive statistics

Standard deviation4855.602129
Coefficient of variation (CV)0.9358981041
Kurtosis0.3259620939
Mean5188.173913
Median Absolute Deviation (MAD)2877
Skewness0.9970858069
Sum477312
Variance23576872.04
MonotonicityNot monotonic
2022-12-08T10:53:24.306325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2654 1
 
1.1%
1755 1
 
1.1%
3339 1
 
1.1%
1881 1
 
1.1%
8125 1
 
1.1%
4149 1
 
1.1%
1821 1
 
1.1%
1200 1
 
1.1%
2021 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
135 1
 
1.1%
151 1
 
1.1%
155 1
 
1.1%
ValueCountFrequency (%)
21482 1
1.1%
17196 1
1.1%
16477 1
1.1%
14417 1
1.1%
13347 1
1.1%

380
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4513.641304
Minimum0
Maximum17821
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:24.448169image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11227.5
median3092
Q37334.5
95-th percentile11629.2
Maximum17821
Range17821
Interquartile range (IQR)6107

Descriptive statistics

Standard deviation4223.46264
Coefficient of variation (CV)0.9357107389
Kurtosis0.1589191489
Mean4513.641304
Median Absolute Deviation (MAD)2820.5
Skewness0.954140514
Sum415255
Variance17837636.67
MonotonicityNot monotonic
2022-12-08T10:53:24.593811image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2241 1
 
1.1%
2232 1
 
1.1%
3178 1
 
1.1%
1419 1
 
1.1%
7895 1
 
1.1%
3976 1
 
1.1%
2008 1
 
1.1%
1041 1
 
1.1%
2893 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
25 1
 
1.1%
30 1
 
1.1%
41 1
 
1.1%
ValueCountFrequency (%)
17821 1
1.1%
16016 1
1.1%
14000 1
1.1%
11805 1
1.1%
11660 1
1.1%

381
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5309.228261
Minimum0
Maximum24776
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:24.727967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.2
Q11361.25
median3144
Q38414.25
95-th percentile14536.7
Maximum24776
Range24776
Interquartile range (IQR)7053

Descriptive statistics

Standard deviation5213.654783
Coefficient of variation (CV)0.9819986121
Kurtosis1.132117851
Mean5309.228261
Median Absolute Deviation (MAD)2963.5
Skewness1.164907456
Sum488449
Variance27182196.2
MonotonicityNot monotonic
2022-12-08T10:53:24.857680image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2296 1
 
1.1%
1665 1
 
1.1%
3069 1
 
1.1%
1520 1
 
1.1%
8703 1
 
1.1%
6203 1
 
1.1%
2014 1
 
1.1%
835 1
 
1.1%
2495 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
44 1
 
1.1%
60 1
 
1.1%
78 1
 
1.1%
120 1
 
1.1%
ValueCountFrequency (%)
24776 1
1.1%
19159 1
1.1%
16411 1
1.1%
15203 1
1.1%
14606 1
1.1%

382
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4972.130435
Minimum0
Maximum19592
Zeros7
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:25.002810image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11125
median3353.5
Q38071.25
95-th percentile13190.95
Maximum19592
Range19592
Interquartile range (IQR)6946.25

Descriptive statistics

Standard deviation4762.384261
Coefficient of variation (CV)0.9578156333
Kurtosis0.4982210554
Mean4972.130435
Median Absolute Deviation (MAD)2969
Skewness1.044536519
Sum457436
Variance22680303.85
MonotonicityNot monotonic
2022-12-08T10:53:25.131983image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
7.6%
2192 1
 
1.1%
8222 1
 
1.1%
2692 1
 
1.1%
4075 1
 
1.1%
1268 1
 
1.1%
8021 1
 
1.1%
5826 1
 
1.1%
1647 1
 
1.1%
1175 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 7
7.6%
17 1
 
1.1%
24 1
 
1.1%
112 1
 
1.1%
128 1
 
1.1%
ValueCountFrequency (%)
19592 1
1.1%
19367 1
1.1%
16984 1
1.1%
13950 1
1.1%
13813 1
1.1%

383
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5399.826087
Minimum0
Maximum21362
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:25.275633image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.85
Q11862.5
median3285.5
Q38625.75
95-th percentile13726.7
Maximum21362
Range21362
Interquartile range (IQR)6763.25

Descriptive statistics

Standard deviation5070.72901
Coefficient of variation (CV)0.9390541341
Kurtosis0.6219644834
Mean5399.826087
Median Absolute Deviation (MAD)2698
Skewness1.098720114
Sum496784
Variance25712292.69
MonotonicityNot monotonic
2022-12-08T10:53:25.408796image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2681 1
 
1.1%
10382 1
 
1.1%
3524 1
 
1.1%
2155 1
 
1.1%
11088 1
 
1.1%
4207 1
 
1.1%
1829 1
 
1.1%
1469 1
 
1.1%
2637 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
11 1
 
1.1%
57 1
 
1.1%
83 1
 
1.1%
ValueCountFrequency (%)
21362 1
1.1%
20009 1
1.1%
19394 1
1.1%
14445 1
1.1%
13994 1
1.1%

384
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4266.663043
Minimum0
Maximum17362
Zeros7
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:25.537968image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11323
median2781
Q37350.5
95-th percentile11872.1
Maximum17362
Range17362
Interquartile range (IQR)6027.5

Descriptive statistics

Standard deviation4091.108628
Coefficient of variation (CV)0.958854399
Kurtosis0.3268457097
Mean4266.663043
Median Absolute Deviation (MAD)2542.5
Skewness1.038218443
Sum392533
Variance16737169.81
MonotonicityNot monotonic
2022-12-08T10:53:25.666490image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
7.6%
8795 2
 
2.2%
1393 1
 
1.1%
2914 1
 
1.1%
1365 1
 
1.1%
7315 1
 
1.1%
3810 1
 
1.1%
1468 1
 
1.1%
921 1
 
1.1%
1762 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 7
7.6%
10 1
 
1.1%
77 1
 
1.1%
128 1
 
1.1%
172 1
 
1.1%
ValueCountFrequency (%)
17362 1
1.1%
14773 1
1.1%
14090 1
1.1%
12533 1
1.1%
12047 1
1.1%

385
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4856.086957
Minimum0
Maximum19021
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:25.808623image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11170
median2662.5
Q38405.5
95-th percentile13831.35
Maximum19021
Range19021
Interquartile range (IQR)7235.5

Descriptive statistics

Standard deviation4768.691996
Coefficient of variation (CV)0.9820030076
Kurtosis0.3281123451
Mean4856.086957
Median Absolute Deviation (MAD)2430
Skewness1.062899385
Sum446760
Variance22740423.35
MonotonicityNot monotonic
2022-12-08T10:53:25.959120image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1152 2
 
2.2%
2280 1
 
1.1%
8521 1
 
1.1%
2089 1
 
1.1%
3753 1
 
1.1%
1564 1
 
1.1%
8926 1
 
1.1%
3709 1
 
1.1%
1585 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
25 1
 
1.1%
56 1
 
1.1%
139 1
 
1.1%
ValueCountFrequency (%)
19021 1
1.1%
18495 1
1.1%
16267 1
1.1%
15394 1
1.1%
13899 1
1.1%

386
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4896.554348
Minimum0
Maximum16668
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:26.124193image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q11504.75
median3219
Q38004.75
95-th percentile13332.55
Maximum16668
Range16668
Interquartile range (IQR)6500

Descriptive statistics

Standard deviation4437.90435
Coefficient of variation (CV)0.9063320929
Kurtosis-0.3119018844
Mean4896.554348
Median Absolute Deviation (MAD)2932.5
Skewness0.8351305274
Sum450483
Variance19694995.02
MonotonicityNot monotonic
2022-12-08T10:53:26.263468image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2676 2
 
2.2%
2149 1
 
1.1%
10096 1
 
1.1%
2661 1
 
1.1%
1896 1
 
1.1%
9947 1
 
1.1%
5332 1
 
1.1%
1856 1
 
1.1%
1113 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
6 1
 
1.1%
12 1
 
1.1%
91 1
 
1.1%
115 1
 
1.1%
ValueCountFrequency (%)
16668 1
1.1%
16419 1
1.1%
14139 1
1.1%
13623 1
1.1%
13431 1
1.1%

387
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4489.108696
Minimum0
Maximum17328
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:26.449490image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11349.25
median2919
Q37178.5
95-th percentile12505.55
Maximum17328
Range17328
Interquartile range (IQR)5829.25

Descriptive statistics

Standard deviation4237.824879
Coefficient of variation (CV)0.9440236728
Kurtosis0.006122186448
Mean4489.108696
Median Absolute Deviation (MAD)2512.5
Skewness0.9785565717
Sum412998
Variance17959159.7
MonotonicityNot monotonic
2022-12-08T10:53:26.607033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2767 1
 
1.1%
2071 1
 
1.1%
3975 1
 
1.1%
1451 1
 
1.1%
8488 1
 
1.1%
2793 1
 
1.1%
1482 1
 
1.1%
1061 1
 
1.1%
2824 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
70 1
 
1.1%
153 1
 
1.1%
172 1
 
1.1%
174 1
 
1.1%
ValueCountFrequency (%)
17328 1
1.1%
14799 1
1.1%
13651 1
1.1%
13384 1
1.1%
12560 1
1.1%

388
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4212.858696
Minimum0
Maximum17276
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:26.779130image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11063.75
median2767
Q36430.75
95-th percentile11643.4
Maximum17276
Range17276
Interquartile range (IQR)5367

Descriptive statistics

Standard deviation4085.232831
Coefficient of variation (CV)0.9697056385
Kurtosis0.7973361024
Mean4212.858696
Median Absolute Deviation (MAD)2450.5
Skewness1.148814301
Sum387583
Variance16689127.29
MonotonicityNot monotonic
2022-12-08T10:53:26.921293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2147 1
 
1.1%
1665 1
 
1.1%
3987 1
 
1.1%
1493 1
 
1.1%
6172 1
 
1.1%
3477 1
 
1.1%
1109 1
 
1.1%
926 1
 
1.1%
2536 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
3 1
 
1.1%
10 1
 
1.1%
35 1
 
1.1%
ValueCountFrequency (%)
17276 1
1.1%
16211 1
1.1%
15124 1
1.1%
12318 1
1.1%
11749 1
1.1%

389
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4944.293478
Minimum0
Maximum20896
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:27.071435image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11199
median3168
Q38354.5
95-th percentile14152.55
Maximum20896
Range20896
Interquartile range (IQR)7155.5

Descriptive statistics

Standard deviation4875.40991
Coefficient of variation (CV)0.9860680665
Kurtosis1.067490209
Mean4944.293478
Median Absolute Deviation (MAD)2804
Skewness1.209746367
Sum454875
Variance23769621.79
MonotonicityNot monotonic
2022-12-08T10:53:27.214570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2209 1
 
1.1%
1797 1
 
1.1%
4070 1
 
1.1%
1297 1
 
1.1%
8136 1
 
1.1%
3875 1
 
1.1%
1415 1
 
1.1%
863 1
 
1.1%
2553 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
32 1
 
1.1%
128 1
 
1.1%
174 1
 
1.1%
ValueCountFrequency (%)
20896 1
1.1%
20651 1
1.1%
16434 1
1.1%
14452 1
1.1%
14361 1
1.1%

390
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5898.48913
Minimum0
Maximum23502
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:27.366196image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11483.75
median4192
Q39380.25
95-th percentile15654.05
Maximum23502
Range23502
Interquartile range (IQR)7896.5

Descriptive statistics

Standard deviation5654.952841
Coefficient of variation (CV)0.9587120899
Kurtosis0.6363295894
Mean5898.48913
Median Absolute Deviation (MAD)3658
Skewness1.086751463
Sum542661
Variance31978491.64
MonotonicityNot monotonic
2022-12-08T10:53:27.503660image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2760 1
 
1.1%
1272 1
 
1.1%
2441 1
 
1.1%
2054 1
 
1.1%
10252 1
 
1.1%
4673 1
 
1.1%
1920 1
 
1.1%
990 1
 
1.1%
2806 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
13 1
 
1.1%
68 1
 
1.1%
81 1
 
1.1%
ValueCountFrequency (%)
23502 1
1.1%
22957 1
1.1%
20953 1
1.1%
15979 1
1.1%
15890 1
1.1%

391
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4977.869565
Minimum0
Maximum18861
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:27.646789image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11553.5
median3254.5
Q38106
95-th percentile13660.95
Maximum18861
Range18861
Interquartile range (IQR)6552.5

Descriptive statistics

Standard deviation4576.482985
Coefficient of variation (CV)0.9193657899
Kurtosis-0.0841337518
Mean4977.869565
Median Absolute Deviation (MAD)2909
Skewness0.9031019719
Sum457964
Variance20944196.51
MonotonicityNot monotonic
2022-12-08T10:53:27.809744image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2265 1
 
1.1%
2039 1
 
1.1%
3650 1
 
1.1%
2214 1
 
1.1%
7882 1
 
1.1%
4140 1
 
1.1%
1797 1
 
1.1%
1220 1
 
1.1%
2833 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
4 1
 
1.1%
30 1
 
1.1%
71 1
 
1.1%
ValueCountFrequency (%)
18861 1
1.1%
15643 1
1.1%
15024 1
1.1%
14251 1
1.1%
14173 1
1.1%

392
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4269.021739
Minimum0
Maximum14331
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:27.967986image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q11181
median2878.5
Q36548.25
95-th percentile11978.1
Maximum14331
Range14331
Interquartile range (IQR)5367.25

Descriptive statistics

Standard deviation3915.202003
Coefficient of variation (CV)0.9171192471
Kurtosis-0.2530177809
Mean4269.021739
Median Absolute Deviation (MAD)2512
Skewness0.8682490891
Sum392750
Variance15328806.72
MonotonicityNot monotonic
2022-12-08T10:53:28.103139image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1663 2
 
2.2%
1893 1
 
1.1%
9343 1
 
1.1%
1195 1
 
1.1%
6052 1
 
1.1%
4612 1
 
1.1%
975 1
 
1.1%
2075 1
 
1.1%
6529 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
6 1
 
1.1%
8 1
 
1.1%
19 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
14331 1
1.1%
13991 1
1.1%
13114 1
1.1%
12887 1
1.1%
12681 1
1.1%

393
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5725.23913
Minimum0
Maximum22090
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:28.242072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11395.25
median3641.5
Q39444.75
95-th percentile16164.5
Maximum22090
Range22090
Interquartile range (IQR)8049.5

Descriptive statistics

Standard deviation5435.855911
Coefficient of variation (CV)0.9494548239
Kurtosis-0.02506561561
Mean5725.23913
Median Absolute Deviation (MAD)3323
Skewness0.916358055
Sum526722
Variance29548529.48
MonotonicityNot monotonic
2022-12-08T10:53:28.379738image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2576 1
 
1.1%
1833 1
 
1.1%
4012 1
 
1.1%
1794 1
 
1.1%
10346 1
 
1.1%
5996 1
 
1.1%
2025 1
 
1.1%
992 1
 
1.1%
1626 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
7 1
 
1.1%
33 1
 
1.1%
58 1
 
1.1%
ValueCountFrequency (%)
22090 1
1.1%
19375 1
1.1%
18479 1
1.1%
16758 1
1.1%
16401 1
1.1%

394
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5394.195652
Minimum0
Maximum22637
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:28.507907image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q11433.25
median3701
Q38340.5
95-th percentile14780.35
Maximum22637
Range22637
Interquartile range (IQR)6907.25

Descriptive statistics

Standard deviation5079.161727
Coefficient of variation (CV)0.9415976088
Kurtosis0.7251913524
Mean5394.195652
Median Absolute Deviation (MAD)3210
Skewness1.102501562
Sum496266
Variance25797883.85
MonotonicityNot monotonic
2022-12-08T10:53:28.636078image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2311 1
 
1.1%
10416 1
 
1.1%
4356 1
 
1.1%
2433 1
 
1.1%
9431 1
 
1.1%
4796 1
 
1.1%
2175 1
 
1.1%
1399 1
 
1.1%
2672 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
5 1
 
1.1%
19 1
 
1.1%
27 1
 
1.1%
ValueCountFrequency (%)
22637 1
1.1%
19764 1
1.1%
16345 1
1.1%
15282 1
1.1%
15167 1
1.1%

395
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5256.054348
Minimum0
Maximum19886
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:31.249754image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11374.25
median3300.5
Q38679.25
95-th percentile13994.65
Maximum19886
Range19886
Interquartile range (IQR)7305

Descriptive statistics

Standard deviation4992.214405
Coefficient of variation (CV)0.9498026609
Kurtosis-0.009499528491
Mean5256.054348
Median Absolute Deviation (MAD)2850.5
Skewness0.9505998942
Sum483557
Variance24922204.67
MonotonicityNot monotonic
2022-12-08T10:53:31.407433image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
746 2
 
2.2%
2448 1
 
1.1%
12174 1
 
1.1%
1781 1
 
1.1%
9905 1
 
1.1%
5151 1
 
1.1%
1923 1
 
1.1%
1036 1
 
1.1%
3108 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
4 1
 
1.1%
10 1
 
1.1%
35 1
 
1.1%
ValueCountFrequency (%)
19886 1
1.1%
18484 1
1.1%
17611 1
1.1%
14503 1
1.1%
14191 1
1.1%

396
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5139.565217
Minimum0
Maximum20833
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:31.571041image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11630.75
median3180.5
Q38136
95-th percentile14341.05
Maximum20833
Range20833
Interquartile range (IQR)6505.25

Descriptive statistics

Standard deviation4978.732332
Coefficient of variation (CV)0.9687069083
Kurtosis0.6633063894
Mean5139.565217
Median Absolute Deviation (MAD)2806
Skewness1.150075555
Sum472840
Variance24787775.63
MonotonicityNot monotonic
2022-12-08T10:53:31.702204image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2896 1
 
1.1%
2310 1
 
1.1%
3276 1
 
1.1%
2011 1
 
1.1%
8969 1
 
1.1%
3785 1
 
1.1%
1876 1
 
1.1%
1373 1
 
1.1%
3263 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
118 1
 
1.1%
125 1
 
1.1%
165 1
 
1.1%
ValueCountFrequency (%)
20833 1
1.1%
19347 1
1.1%
18220 1
1.1%
15260 1
1.1%
15083 1
1.1%

397
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4610.206522
Minimum0
Maximum18008
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:31.849325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q11366.5
median2968
Q37628.75
95-th percentile12081.8
Maximum18008
Range18008
Interquartile range (IQR)6262.25

Descriptive statistics

Standard deviation4345.667319
Coefficient of variation (CV)0.9426187957
Kurtosis0.2449304235
Mean4610.206522
Median Absolute Deviation (MAD)2590.5
Skewness0.9979915161
Sum424139
Variance18884824.45
MonotonicityNot monotonic
2022-12-08T10:53:32.004928image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
2258 1
 
1.1%
1544 1
 
1.1%
2181 1
 
1.1%
1442 1
 
1.1%
8050 1
 
1.1%
3543 1
 
1.1%
1788 1
 
1.1%
890 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
7 1
 
1.1%
12 1
 
1.1%
44 1
 
1.1%
ValueCountFrequency (%)
18008 1
1.1%
16587 1
1.1%
15286 1
1.1%
13133 1
1.1%
12139 1
1.1%

398
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5497.565217
Minimum0
Maximum21333
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:32.154044image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11286
median3786
Q39402.25
95-th percentile14649.1
Maximum21333
Range21333
Interquartile range (IQR)8116.25

Descriptive statistics

Standard deviation5130.804903
Coefficient of variation (CV)0.9332867733
Kurtosis0.163360863
Mean5497.565217
Median Absolute Deviation (MAD)3422
Skewness0.9521572398
Sum505776
Variance26325158.95
MonotonicityNot monotonic
2022-12-08T10:53:32.277734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
3093 1
 
1.1%
2463 1
 
1.1%
4188 1
 
1.1%
1686 1
 
1.1%
9810 1
 
1.1%
4995 1
 
1.1%
1999 1
 
1.1%
1244 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
3 1
 
1.1%
16 1
 
1.1%
19 1
 
1.1%
ValueCountFrequency (%)
21333 1
1.1%
19282 1
1.1%
17277 1
1.1%
16277 1
1.1%
15066 1
1.1%

399
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5737.902174
Minimum0
Maximum22399
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:32.409893image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11502.5
median3562.5
Q39924.75
95-th percentile14667.9
Maximum22399
Range22399
Interquartile range (IQR)8422.25

Descriptive statistics

Standard deviation5484.54193
Coefficient of variation (CV)0.9558444469
Kurtosis0.1771290796
Mean5737.902174
Median Absolute Deviation (MAD)3142
Skewness1.000993665
Sum527887
Variance30080200.18
MonotonicityNot monotonic
2022-12-08T10:53:32.542049image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2620 1
 
1.1%
12480 1
 
1.1%
4269 1
 
1.1%
1913 1
 
1.1%
10700 1
 
1.1%
4911 1
 
1.1%
1786 1
 
1.1%
1389 1
 
1.1%
3625 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
18 1
 
1.1%
19 1
 
1.1%
ValueCountFrequency (%)
22399 1
1.1%
20606 1
1.1%
19742 1
1.1%
16290 1
1.1%
15197 1
1.1%

400
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4664.978261
Minimum0
Maximum18116
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:32.677267image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11170.5
median3036.5
Q37877.5
95-th percentile12808.4
Maximum18116
Range18116
Interquartile range (IQR)6707

Descriptive statistics

Standard deviation4408.566274
Coefficient of variation (CV)0.9450346877
Kurtosis0.03774336851
Mean4664.978261
Median Absolute Deviation (MAD)2752.5
Skewness0.944102582
Sum429178
Variance19435456.59
MonotonicityNot monotonic
2022-12-08T10:53:32.818402image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3144 2
 
2.2%
2322 1
 
1.1%
2002 1
 
1.1%
4226 1
 
1.1%
1446 1
 
1.1%
8390 1
 
1.1%
3368 1
 
1.1%
1203 1
 
1.1%
949 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
9 1
 
1.1%
19 1
 
1.1%
67 1
 
1.1%
ValueCountFrequency (%)
18116 1
1.1%
16074 1
1.1%
14300 1
1.1%
13918 1
1.1%
13178 1
1.1%

401
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3900.652174
Minimum0
Maximum15956
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:32.958550image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q11177.75
median2424
Q36727
95-th percentile10098.05
Maximum15956
Range15956
Interquartile range (IQR)5549.25

Descriptive statistics

Standard deviation3705.37412
Coefficient of variation (CV)0.949937076
Kurtosis0.4975320937
Mean3900.652174
Median Absolute Deviation (MAD)2215.5
Skewness1.053742738
Sum358860
Variance13729797.37
MonotonicityNot monotonic
2022-12-08T10:53:33.086236image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1746 1
 
1.1%
7838 1
 
1.1%
2577 1
 
1.1%
1361 1
 
1.1%
7228 1
 
1.1%
3328 1
 
1.1%
1180 1
 
1.1%
940 1
 
1.1%
1898 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
7 1
 
1.1%
18 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
15956 1
1.1%
14037 1
1.1%
13500 1
1.1%
11292 1
1.1%
10653 1
1.1%

402
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4692.445652
Minimum0
Maximum17483
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:33.219394image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11285.75
median2905.5
Q38104.5
95-th percentile12435.3
Maximum17483
Range17483
Interquartile range (IQR)6818.75

Descriptive statistics

Standard deviation4446.909455
Coefficient of variation (CV)0.9476741521
Kurtosis0.1776635888
Mean4692.445652
Median Absolute Deviation (MAD)2566
Skewness0.9917782754
Sum431705
Variance19775003.7
MonotonicityNot monotonic
2022-12-08T10:53:33.347564image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2 2
 
2.2%
2222 1
 
1.1%
8209 1
 
1.1%
3379 1
 
1.1%
3551 1
 
1.1%
1830 1
 
1.1%
8390 1
 
1.1%
4047 1
 
1.1%
1576 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
2 2
 
2.2%
36 1
 
1.1%
121 1
 
1.1%
148 1
 
1.1%
ValueCountFrequency (%)
17483 1
1.1%
17285 1
1.1%
16283 1
1.1%
12902 1
1.1%
12454 1
1.1%

403
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4974
Minimum0
Maximum18564
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:33.505220image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.1
Q11460.25
median3307
Q37836.5
95-th percentile13133.65
Maximum18564
Range18564
Interquartile range (IQR)6376.25

Descriptive statistics

Standard deviation4683.108435
Coefficient of variation (CV)0.9415175784
Kurtosis0.1171671066
Mean4974
Median Absolute Deviation (MAD)2677.5
Skewness1.002309059
Sum457608
Variance21931504.62
MonotonicityNot monotonic
2022-12-08T10:53:33.637381image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3614 1
 
1.1%
11215 1
 
1.1%
2813 1
 
1.1%
1511 1
 
1.1%
8017 1
 
1.1%
4963 1
 
1.1%
1652 1
 
1.1%
1152 1
 
1.1%
2943 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
6 1
 
1.1%
10 1
 
1.1%
30 1
 
1.1%
ValueCountFrequency (%)
18564 1
1.1%
17724 1
1.1%
16790 1
1.1%
13590 1
1.1%
13462 1
1.1%

404
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5528.76087
Minimum0
Maximum22375
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:33.766552image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11666.75
median3601
Q38865
95-th percentile14688.75
Maximum22375
Range22375
Interquartile range (IQR)7198.25

Descriptive statistics

Standard deviation5213.362869
Coefficient of variation (CV)0.9429532208
Kurtosis0.6244602473
Mean5528.76087
Median Absolute Deviation (MAD)3109
Skewness1.092567897
Sum508646
Variance27179152.4
MonotonicityNot monotonic
2022-12-08T10:53:33.885727image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2597 1
 
1.1%
2220 1
 
1.1%
3281 1
 
1.1%
2187 1
 
1.1%
9254 1
 
1.1%
4957 1
 
1.1%
1991 1
 
1.1%
1406 1
 
1.1%
2533 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
57 1
 
1.1%
155 1
 
1.1%
196 1
 
1.1%
ValueCountFrequency (%)
22375 1
1.1%
20178 1
1.1%
18591 1
1.1%
16987 1
1.1%
14862 1
1.1%

405
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5664.26087
Minimum0
Maximum20638
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:34.020875image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q11579.75
median3784.5
Q39506.5
95-th percentile16202.3
Maximum20638
Range20638
Interquartile range (IQR)7926.75

Descriptive statistics

Standard deviation5448.072709
Coefficient of variation (CV)0.9618329442
Kurtosis0.2047291284
Mean5664.26087
Median Absolute Deviation (MAD)3241.5
Skewness1.028706394
Sum521112
Variance29681496.24
MonotonicityNot monotonic
2022-12-08T10:53:34.137079image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3881 2
 
2.2%
2626 1
 
1.1%
12081 1
 
1.1%
1643 1
 
1.1%
10329 1
 
1.1%
5739 1
 
1.1%
1831 1
 
1.1%
962 1
 
1.1%
2172 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
7 1
 
1.1%
8 1
 
1.1%
45 1
 
1.1%
ValueCountFrequency (%)
20638 1
1.1%
20317 1
1.1%
19352 1
1.1%
18972 1
1.1%
17442 1
1.1%

406
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4918.282609
Minimum0
Maximum17863
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:34.266248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q11192.25
median3441.5
Q38422.75
95-th percentile13567.65
Maximum17863
Range17863
Interquartile range (IQR)7230.5

Descriptive statistics

Standard deviation4663.881047
Coefficient of variation (CV)0.9482743101
Kurtosis-0.1591241748
Mean4918.282609
Median Absolute Deviation (MAD)2941.5
Skewness0.9257578052
Sum452482
Variance21751786.42
MonotonicityNot monotonic
2022-12-08T10:53:34.380967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3168 2
 
2.2%
10164 1
 
1.1%
1326 1
 
1.1%
8523 1
 
1.1%
3549 1
 
1.1%
1316 1
 
1.1%
768 1
 
1.1%
2967 1
 
1.1%
6531 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
6 1
 
1.1%
15 1
 
1.1%
21 1
 
1.1%
85 1
 
1.1%
ValueCountFrequency (%)
17863 1
1.1%
17304 1
1.1%
14386 1
1.1%
14247 1
1.1%
13863 1
1.1%

407
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4539.01087
Minimum0
Maximum18311
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:34.516458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11178.5
median2765
Q37490
95-th percentile12279.15
Maximum18311
Range18311
Interquartile range (IQR)6311.5

Descriptive statistics

Standard deviation4368.297733
Coefficient of variation (CV)0.9623897935
Kurtosis0.3332234918
Mean4539.01087
Median Absolute Deviation (MAD)2537.5
Skewness1.03881644
Sum417589
Variance19082025.09
MonotonicityNot monotonic
2022-12-08T10:53:34.668570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2052 1
 
1.1%
2018 1
 
1.1%
3117 1
 
1.1%
1171 1
 
1.1%
7583 1
 
1.1%
3660 1
 
1.1%
1302 1
 
1.1%
903 1
 
1.1%
2539 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
20 1
 
1.1%
29 1
 
1.1%
45 1
 
1.1%
106 1
 
1.1%
ValueCountFrequency (%)
18311 1
1.1%
16738 1
1.1%
14768 1
1.1%
12868 1
1.1%
12492 1
1.1%

408
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5423.141304
Minimum0
Maximum23826
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:34.818194image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11551.5
median3286.5
Q39165.25
95-th percentile15490.1
Maximum23826
Range23826
Interquartile range (IQR)7613.75

Descriptive statistics

Standard deviation5362.96514
Coefficient of variation (CV)0.9889038177
Kurtosis1.02244049
Mean5423.141304
Median Absolute Deviation (MAD)2862.5
Skewness1.216556078
Sum498929
Variance28761395.09
MonotonicityNot monotonic
2022-12-08T10:53:34.985796image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2695 1
 
1.1%
2171 1
 
1.1%
3341 1
 
1.1%
1581 1
 
1.1%
9809 1
 
1.1%
4934 1
 
1.1%
1902 1
 
1.1%
1135 1
 
1.1%
3320 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
105 1
 
1.1%
194 1
 
1.1%
242 1
 
1.1%
ValueCountFrequency (%)
23826 1
1.1%
21049 1
1.1%
19192 1
1.1%
15917 1
1.1%
15621 1
1.1%

409
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4845.804348
Minimum0
Maximum19359
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:35.188672image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11534.25
median2933
Q37417.25
95-th percentile12650.2
Maximum19359
Range19359
Interquartile range (IQR)5883

Descriptive statistics

Standard deviation4694.033344
Coefficient of variation (CV)0.9686799151
Kurtosis0.466334818
Mean4845.804348
Median Absolute Deviation (MAD)2625.5
Skewness1.099199813
Sum445814
Variance22033949.04
MonotonicityNot monotonic
2022-12-08T10:53:35.325818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3100 1
 
1.1%
1339 1
 
1.1%
2869 1
 
1.1%
2060 1
 
1.1%
8806 1
 
1.1%
3859 1
 
1.1%
1794 1
 
1.1%
998 1
 
1.1%
1861 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
18 1
 
1.1%
24 1
 
1.1%
87 1
 
1.1%
ValueCountFrequency (%)
19359 1
1.1%
17734 1
1.1%
17598 1
1.1%
13452 1
1.1%
12791 1
1.1%

410
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3975.467391
Minimum0
Maximum15038
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:35.476019image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11130
median2968
Q36662.5
95-th percentile11172.05
Maximum15038
Range15038
Interquartile range (IQR)5532.5

Descriptive statistics

Standard deviation3735.913965
Coefficient of variation (CV)0.9397420723
Kurtosis0.1533688388
Mean3975.467391
Median Absolute Deviation (MAD)2282.5
Skewness0.9939919145
Sum365743
Variance13957053.15
MonotonicityNot monotonic
2022-12-08T10:53:35.611804image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1287 1
 
1.1%
1413 1
 
1.1%
1951 1
 
1.1%
1332 1
 
1.1%
6763 1
 
1.1%
3455 1
 
1.1%
1374 1
 
1.1%
1007 1
 
1.1%
1530 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
8 1
 
1.1%
18 1
 
1.1%
46 1
 
1.1%
ValueCountFrequency (%)
15038 1
1.1%
13638 1
1.1%
12825 1
1.1%
12139 1
1.1%
11540 1
1.1%

411
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5521.771739
Minimum0
Maximum22245
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:35.751940image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile106.3
Q1940.5
median3556
Q39951.75
95-th percentile16154.5
Maximum22245
Range22245
Interquartile range (IQR)9011.25

Descriptive statistics

Standard deviation5584.840307
Coefficient of variation (CV)1.011421799
Kurtosis0.001264590205
Mean5521.771739
Median Absolute Deviation (MAD)3062.5
Skewness1.008267364
Sum508003
Variance31190441.26
MonotonicityNot monotonic
2022-12-08T10:53:35.883616image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
3190 1
 
1.1%
12733 1
 
1.1%
682 1
 
1.1%
9152 1
 
1.1%
5269 1
 
1.1%
1650 1
 
1.1%
717 1
 
1.1%
1505 1
 
1.1%
8362 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
11 1
1.1%
17 1
1.1%
103 1
1.1%
109 1
1.1%
ValueCountFrequency (%)
22245 1
1.1%
19796 1
1.1%
17482 1
1.1%
16978 1
1.1%
16336 1
1.1%

412
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5386.413043
Minimum0
Maximum19008
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:36.028745image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11560.5
median3298.5
Q39176.5
95-th percentile13894.4
Maximum19008
Range19008
Interquartile range (IQR)7616

Descriptive statistics

Standard deviation5101.516192
Coefficient of variation (CV)0.9471082426
Kurtosis-0.3742363226
Mean5386.413043
Median Absolute Deviation (MAD)2938
Skewness0.8811385471
Sum495550
Variance26025467.45
MonotonicityNot monotonic
2022-12-08T10:53:36.148938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2998 1
 
1.1%
1745 1
 
1.1%
2664 1
 
1.1%
1754 1
 
1.1%
8898 1
 
1.1%
5051 1
 
1.1%
1622 1
 
1.1%
1223 1
 
1.1%
2059 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
5 1
 
1.1%
8 1
 
1.1%
119 1
 
1.1%
ValueCountFrequency (%)
19008 1
1.1%
18531 1
1.1%
16614 1
1.1%
15489 1
1.1%
14198 1
1.1%

413
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4620.304348
Minimum0
Maximum17298
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:36.289596image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11341.25
median2806.5
Q37931.5
95-th percentile12850.2
Maximum17298
Range17298
Interquartile range (IQR)6590.25

Descriptive statistics

Standard deviation4352.149457
Coefficient of variation (CV)0.9419616392
Kurtosis0.01998575831
Mean4620.304348
Median Absolute Deviation (MAD)2460
Skewness0.9740833488
Sum425068
Variance18941204.9
MonotonicityNot monotonic
2022-12-08T10:53:36.427360image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 2
 
2.2%
1786 1
 
1.1%
2071 1
 
1.1%
2602 1
 
1.1%
1318 1
 
1.1%
7802 1
 
1.1%
4575 1
 
1.1%
1369 1
 
1.1%
959 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
32 1
 
1.1%
54 1
 
1.1%
104 1
 
1.1%
ValueCountFrequency (%)
17298 1
1.1%
15536 1
1.1%
15309 1
1.1%
13229 1
1.1%
12947 1
1.1%

414
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5029.5
Minimum0
Maximum18396
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:36.638832image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11522
median3340
Q38262
95-th percentile12968.35
Maximum18396
Range18396
Interquartile range (IQR)6740

Descriptive statistics

Standard deviation4625.115795
Coefficient of variation (CV)0.9195975336
Kurtosis-0.2246139559
Mean5029.5
Median Absolute Deviation (MAD)2961.5
Skewness0.8603153223
Sum462714
Variance21391696.12
MonotonicityNot monotonic
2022-12-08T10:53:36.815995image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2720 1
 
1.1%
2007 1
 
1.1%
2388 1
 
1.1%
1750 1
 
1.1%
8654 1
 
1.1%
4394 1
 
1.1%
1622 1
 
1.1%
1460 1
 
1.1%
3255 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
13 1
 
1.1%
65 1
 
1.1%
84 1
 
1.1%
ValueCountFrequency (%)
18396 1
1.1%
16556 1
1.1%
16109 1
1.1%
13670 1
1.1%
13333 1
1.1%

415
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4370.423913
Minimum0
Maximum16135
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:36.962124image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.5
Q11244.75
median3010
Q37362.5
95-th percentile11323
Maximum16135
Range16135
Interquartile range (IQR)6117.75

Descriptive statistics

Standard deviation4024.741046
Coefficient of variation (CV)0.9209040419
Kurtosis0.1832101598
Mean4370.423913
Median Absolute Deviation (MAD)2544
Skewness0.984264565
Sum402079
Variance16198540.49
MonotonicityNot monotonic
2022-12-08T10:53:37.117800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1895 1
 
1.1%
1172 1
 
1.1%
2907 1
 
1.1%
1797 1
 
1.1%
7491 1
 
1.1%
3062 1
 
1.1%
1417 1
 
1.1%
965 1
 
1.1%
2070 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
30 1
 
1.1%
56 1
 
1.1%
160 1
 
1.1%
207 1
 
1.1%
ValueCountFrequency (%)
16135 1
1.1%
15628 1
1.1%
14654 1
1.1%
11922 1
1.1%
11422 1
1.1%

416
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5716.554348
Minimum0
Maximum21472
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:37.264925image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39.8
Q11722
median3659
Q39820.5
95-th percentile14809.05
Maximum21472
Range21472
Interquartile range (IQR)8098.5

Descriptive statistics

Standard deviation5299.828744
Coefficient of variation (CV)0.9271019606
Kurtosis0.1215514906
Mean5716.554348
Median Absolute Deviation (MAD)3235
Skewness0.9488743374
Sum525923
Variance28088184.71
MonotonicityNot monotonic
2022-12-08T10:53:37.389627image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2636 1
 
1.1%
11739 1
 
1.1%
3213 1
 
1.1%
2033 1
 
1.1%
10055 1
 
1.1%
6660 1
 
1.1%
2034 1
 
1.1%
1229 1
 
1.1%
3804 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
2 1
 
1.1%
31 1
 
1.1%
47 1
 
1.1%
48 1
 
1.1%
ValueCountFrequency (%)
21472 1
1.1%
20806 1
1.1%
18274 1
1.1%
15334 1
1.1%
15166 1
1.1%

417
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5301.836957
Minimum0
Maximum20780
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:37.540735image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11307.75
median3443.5
Q38495.75
95-th percentile13969.05
Maximum20780
Range20780
Interquartile range (IQR)7188

Descriptive statistics

Standard deviation5042.581179
Coefficient of variation (CV)0.9511007639
Kurtosis0.2220761289
Mean5301.836957
Median Absolute Deviation (MAD)2917
Skewness1.013808161
Sum487769
Variance25427624.95
MonotonicityNot monotonic
2022-12-08T10:53:37.677677image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3
 
3.3%
0 3
 
3.3%
8351 2
 
2.2%
1229 1
 
1.1%
3524 1
 
1.1%
1563 1
 
1.1%
8909 1
 
1.1%
3930 1
 
1.1%
1423 1
 
1.1%
1088 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 3
3.3%
1 3
3.3%
49 1
 
1.1%
157 1
 
1.1%
158 1
 
1.1%
ValueCountFrequency (%)
20780 1
1.1%
18576 1
1.1%
18121 1
1.1%
14453 1
1.1%
14139 1
1.1%

418
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4553.76087
Minimum0
Maximum18851
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:37.843263image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11441.75
median3111.5
Q36929.25
95-th percentile12417.4
Maximum18851
Range18851
Interquartile range (IQR)5487.5

Descriptive statistics

Standard deviation4281.787771
Coefficient of variation (CV)0.9402750591
Kurtosis0.781568593
Mean4553.76087
Median Absolute Deviation (MAD)2653
Skewness1.123312065
Sum418946
Variance18333706.51
MonotonicityNot monotonic
2022-12-08T10:53:37.996882image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2252 1
 
1.1%
2077 1
 
1.1%
3796 1
 
1.1%
1710 1
 
1.1%
7859 1
 
1.1%
3307 1
 
1.1%
1506 1
 
1.1%
849 1
 
1.1%
2642 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
35 1
 
1.1%
60 1
 
1.1%
74 1
 
1.1%
ValueCountFrequency (%)
18851 1
1.1%
16906 1
1.1%
14996 1
1.1%
13292 1
1.1%
12556 1
1.1%

419
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4936.804348
Minimum0
Maximum18061
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:38.187996image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11353.5
median3422
Q37887.5
95-th percentile13493.75
Maximum18061
Range18061
Interquartile range (IQR)6534

Descriptive statistics

Standard deviation4586.264168
Coefficient of variation (CV)0.9289945164
Kurtosis0.02179247969
Mean4936.804348
Median Absolute Deviation (MAD)3079.5
Skewness0.9382952246
Sum454186
Variance21033819.02
MonotonicityNot monotonic
2022-12-08T10:53:38.330127image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2260 1
 
1.1%
1786 1
 
1.1%
3899 1
 
1.1%
1382 1
 
1.1%
9089 1
 
1.1%
4050 1
 
1.1%
1746 1
 
1.1%
1110 1
 
1.1%
3186 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
7 1
 
1.1%
27 1
 
1.1%
31 1
 
1.1%
ValueCountFrequency (%)
18061 1
1.1%
16787 1
1.1%
16236 1
1.1%
14639 1
1.1%
13777 1
1.1%

420
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4796.923913
Minimum0
Maximum17025
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:38.472315image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11444
median3200.5
Q37584
95-th percentile12649.15
Maximum17025
Range17025
Interquartile range (IQR)6140

Descriptive statistics

Standard deviation4370.472943
Coefficient of variation (CV)0.9110990755
Kurtosis-0.06601154661
Mean4796.923913
Median Absolute Deviation (MAD)2908.5
Skewness0.8968348497
Sum441317
Variance19101033.74
MonotonicityNot monotonic
2022-12-08T10:53:38.600988image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 3
 
3.3%
2284 1
 
1.1%
6591 1
 
1.1%
2850 1
 
1.1%
2889 1
 
1.1%
1694 1
 
1.1%
8224 1
 
1.1%
5318 1
 
1.1%
1473 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 3
3.3%
7 1
 
1.1%
124 1
 
1.1%
132 1
 
1.1%
ValueCountFrequency (%)
17025 1
1.1%
16668 1
1.1%
14757 1
1.1%
13908 1
1.1%
12730 1
1.1%

421
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5701.206522
Minimum0
Maximum20412
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:38.753038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11742.25
median3894.5
Q38929.25
95-th percentile16043.8
Maximum20412
Range20412
Interquartile range (IQR)7187

Descriptive statistics

Standard deviation5250.548163
Coefficient of variation (CV)0.9209538618
Kurtosis-0.1169916262
Mean5701.206522
Median Absolute Deviation (MAD)3444
Skewness0.917788676
Sum524511
Variance27568256.01
MonotonicityNot monotonic
2022-12-08T10:53:38.892689image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2728 1
 
1.1%
1867 1
 
1.1%
3671 1
 
1.1%
2172 1
 
1.1%
9218 1
 
1.1%
4894 1
 
1.1%
2008 1
 
1.1%
1306 1
 
1.1%
3296 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
5 1
 
1.1%
14 1
 
1.1%
49 1
 
1.1%
ValueCountFrequency (%)
20412 1
1.1%
19508 1
1.1%
16601 1
1.1%
16399 1
1.1%
16046 1
1.1%

422
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4769.456522
Minimum0
Maximum18316
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:39.028842image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11408.25
median3163
Q37556.5
95-th percentile12367.9
Maximum18316
Range18316
Interquartile range (IQR)6148.25

Descriptive statistics

Standard deviation4493.291362
Coefficient of variation (CV)0.9420971428
Kurtosis0.3843785005
Mean4769.456522
Median Absolute Deviation (MAD)2777.5
Skewness1.043213909
Sum438790
Variance20189667.26
MonotonicityNot monotonic
2022-12-08T10:53:39.155485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2592 1
 
1.1%
2128 1
 
1.1%
3618 1
 
1.1%
1565 1
 
1.1%
8104 1
 
1.1%
4160 1
 
1.1%
1382 1
 
1.1%
1178 1
 
1.1%
3100 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
23 1
 
1.1%
65 1
 
1.1%
100 1
 
1.1%
ValueCountFrequency (%)
18316 1
1.1%
18103 1
1.1%
16007 1
1.1%
12638 1
1.1%
12402 1
1.1%

423
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5853.228261
Minimum0
Maximum21647
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:39.307115image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.15
Q11653.75
median3423.5
Q39805.75
95-th percentile15788.05
Maximum21647
Range21647
Interquartile range (IQR)8152

Descriptive statistics

Standard deviation5725.235332
Coefficient of variation (CV)0.978132934
Kurtosis0.01604608914
Mean5853.228261
Median Absolute Deviation (MAD)2897
Skewness1.011961188
Sum538497
Variance32778319.61
MonotonicityNot monotonic
2022-12-08T10:53:39.431697image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3882 1
 
1.1%
14685 1
 
1.1%
4011 1
 
1.1%
1698 1
 
1.1%
8862 1
 
1.1%
4337 1
 
1.1%
1521 1
 
1.1%
1163 1
 
1.1%
3384 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
17 1
 
1.1%
27 1
 
1.1%
71 1
 
1.1%
ValueCountFrequency (%)
21647 1
1.1%
21094 1
1.1%
20719 1
1.1%
18096 1
1.1%
15826 1
1.1%

424
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5174.771739
Minimum0
Maximum22053
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:39.571833image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.75
Q11502.25
median3517
Q38429.75
95-th percentile14893
Maximum22053
Range22053
Interquartile range (IQR)6927.5

Descriptive statistics

Standard deviation4842.422001
Coefficient of variation (CV)0.9357749956
Kurtosis0.8187372738
Mean5174.771739
Median Absolute Deviation (MAD)3057.5
Skewness1.106705075
Sum476079
Variance23449050.84
MonotonicityNot monotonic
2022-12-08T10:53:39.704494image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1760 2
 
2.2%
2722 1
 
1.1%
10765 1
 
1.1%
4411 1
 
1.1%
8660 1
 
1.1%
4840 1
 
1.1%
1374 1
 
1.1%
2828 1
 
1.1%
6174 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
9 1
 
1.1%
50 1
 
1.1%
70 1
 
1.1%
ValueCountFrequency (%)
22053 1
1.1%
17520 1
1.1%
16263 1
1.1%
15575 1
1.1%
14970 1
1.1%

425
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5014.48913
Minimum0
Maximum20706
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:39.838077image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.4
Q11277.25
median3222
Q38165
95-th percentile13238.35
Maximum20706
Range20706
Interquartile range (IQR)6887.75

Descriptive statistics

Standard deviation4686.9349
Coefficient of variation (CV)0.9346784444
Kurtosis0.335053365
Mean5014.48913
Median Absolute Deviation (MAD)2858
Skewness0.9884291416
Sum461333
Variance21967358.76
MonotonicityNot monotonic
2022-12-08T10:53:39.967247image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2769 1
 
1.1%
11540 1
 
1.1%
1934 1
 
1.1%
1334 1
 
1.1%
9714 1
 
1.1%
6086 1
 
1.1%
2063 1
 
1.1%
956 1
 
1.1%
1359 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
8 1
 
1.1%
16 1
 
1.1%
31 1
 
1.1%
67 1
 
1.1%
ValueCountFrequency (%)
20706 1
1.1%
16966 1
1.1%
14702 1
1.1%
14189 1
1.1%
13702 1
1.1%

426
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4776.945652
Minimum0
Maximum17689
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:40.097927image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11228.75
median3038
Q37720
95-th percentile13049.6
Maximum17689
Range17689
Interquartile range (IQR)6491.25

Descriptive statistics

Standard deviation4525.193191
Coefficient of variation (CV)0.9472984456
Kurtosis0.05101000384
Mean4776.945652
Median Absolute Deviation (MAD)2753.5
Skewness0.9618694754
Sum439479
Variance20477373.41
MonotonicityNot monotonic
2022-12-08T10:53:40.227103image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2170 1
 
1.1%
1556 1
 
1.1%
4253 1
 
1.1%
1601 1
 
1.1%
7948 1
 
1.1%
3866 1
 
1.1%
1401 1
 
1.1%
900 1
 
1.1%
2949 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
22 1
 
1.1%
36 1
 
1.1%
53 1
 
1.1%
ValueCountFrequency (%)
17689 1
1.1%
17363 1
1.1%
15533 1
1.1%
13346 1
1.1%
13164 1
1.1%

427
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4581.663043
Minimum0
Maximum17186
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:40.364277image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11133.75
median3045
Q37503.75
95-th percentile12527.8
Maximum17186
Range17186
Interquartile range (IQR)6370

Descriptive statistics

Standard deviation4311.495124
Coefficient of variation (CV)0.9410327829
Kurtosis-0.09762522004
Mean4581.663043
Median Absolute Deviation (MAD)2796
Skewness0.917049975
Sum421513
Variance18588990.2
MonotonicityNot monotonic
2022-12-08T10:53:40.488976image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2260 1
 
1.1%
1767 1
 
1.1%
4045 1
 
1.1%
1472 1
 
1.1%
8079 1
 
1.1%
3735 1
 
1.1%
1249 1
 
1.1%
874 1
 
1.1%
2950 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
19 1
 
1.1%
37 1
 
1.1%
95 1
 
1.1%
ValueCountFrequency (%)
17186 1
1.1%
15754 1
1.1%
13666 1
1.1%
12726 1
1.1%
12574 1
1.1%

428
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4892.597826
Minimum0
Maximum19517
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:40.625133image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11344.75
median3155
Q38278.25
95-th percentile13027.6
Maximum19517
Range19517
Interquartile range (IQR)6933.5

Descriptive statistics

Standard deviation4659.075119
Coefficient of variation (CV)0.9522702018
Kurtosis0.1475041001
Mean4892.597826
Median Absolute Deviation (MAD)2837
Skewness0.9825648105
Sum450119
Variance21706980.97
MonotonicityNot monotonic
2022-12-08T10:53:40.751315image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2252 1
 
1.1%
1358 1
 
1.1%
2460 1
 
1.1%
1538 1
 
1.1%
8623 1
 
1.1%
3835 1
 
1.1%
1511 1
 
1.1%
739 1
 
1.1%
2112 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
7 1
 
1.1%
16 1
 
1.1%
84 1
 
1.1%
ValueCountFrequency (%)
19517 1
1.1%
16545 1
1.1%
16313 1
1.1%
13457 1
1.1%
13307 1
1.1%

429
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4528.315217
Minimum0
Maximum16594
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:40.913963image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11246
median2885
Q37316.5
95-th percentile12256.95
Maximum16594
Range16594
Interquartile range (IQR)6070.5

Descriptive statistics

Standard deviation4242.841754
Coefficient of variation (CV)0.9369581292
Kurtosis0.05893434032
Mean4528.315217
Median Absolute Deviation (MAD)2639.5
Skewness0.947139362
Sum416605
Variance18001706.15
MonotonicityNot monotonic
2022-12-08T10:53:41.067066image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1775 1
 
1.1%
1062 1
 
1.1%
2495 1
 
1.1%
1552 1
 
1.1%
8269 1
 
1.1%
4514 1
 
1.1%
1701 1
 
1.1%
914 1
 
1.1%
1908 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
14 1
 
1.1%
65 1
 
1.1%
119 1
 
1.1%
128 1
 
1.1%
ValueCountFrequency (%)
16594 1
1.1%
16417 1
1.1%
14708 1
1.1%
12891 1
1.1%
12791 1
1.1%

430
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3994.315217
Minimum0
Maximum15468
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:41.202727image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11275.5
median2722.5
Q36371.5
95-th percentile10150.1
Maximum15468
Range15468
Interquartile range (IQR)5096

Descriptive statistics

Standard deviation3646.53897
Coefficient of variation (CV)0.9129321978
Kurtosis0.566165066
Mean3994.315217
Median Absolute Deviation (MAD)2158.5
Skewness1.04164696
Sum367477
Variance13297246.46
MonotonicityNot monotonic
2022-12-08T10:53:41.332892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1 2
 
2.2%
2145 1
 
1.1%
5452 1
 
1.1%
2675 1
 
1.1%
2239 1
 
1.1%
1211 1
 
1.1%
6862 1
 
1.1%
3410 1
 
1.1%
1500 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 2
 
2.2%
5 1
 
1.1%
67 1
 
1.1%
148 1
 
1.1%
ValueCountFrequency (%)
15468 1
1.1%
14608 1
1.1%
13425 1
1.1%
11266 1
1.1%
10347 1
1.1%

431
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5221.826087
Minimum0
Maximum18547
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:41.473698image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q11489.75
median3457.5
Q37760.75
95-th percentile15531.55
Maximum18547
Range18547
Interquartile range (IQR)6271

Descriptive statistics

Standard deviation4899.595681
Coefficient of variation (CV)0.9382916243
Kurtosis0.08064357733
Mean5221.826087
Median Absolute Deviation (MAD)3042
Skewness0.9928822574
Sum480408
Variance24006037.84
MonotonicityNot monotonic
2022-12-08T10:53:41.603380image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2278 1
 
1.1%
1814 1
 
1.1%
2938 1
 
1.1%
2188 1
 
1.1%
9339 1
 
1.1%
3457 1
 
1.1%
1878 1
 
1.1%
1450 1
 
1.1%
3178 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
12 1
 
1.1%
13 1
 
1.1%
26 1
 
1.1%
64 1
 
1.1%
ValueCountFrequency (%)
18547 1
1.1%
17450 1
1.1%
17330 1
1.1%
16551 1
1.1%
16213 1
1.1%

432
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5128.315217
Minimum0
Maximum21458
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:41.741524image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.85
Q11498.5
median3091
Q38456
95-th percentile14590.25
Maximum21458
Range21458
Interquartile range (IQR)6957.5

Descriptive statistics

Standard deviation4934.277557
Coefficient of variation (CV)0.9621634685
Kurtosis0.5753845079
Mean5128.315217
Median Absolute Deviation (MAD)2852.5
Skewness1.092781811
Sum471805
Variance24347095.01
MonotonicityNot monotonic
2022-12-08T10:53:41.866704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
2.2%
0 2
 
2.2%
12 2
 
2.2%
2180 1
 
1.1%
2331 1
 
1.1%
3111 1
 
1.1%
1740 1
 
1.1%
8710 1
 
1.1%
4786 1
 
1.1%
1624 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 2
2.2%
1 2
2.2%
5 1
1.1%
12 2
2.2%
50 1
1.1%
ValueCountFrequency (%)
21458 1
1.1%
18200 1
1.1%
16404 1
1.1%
15761 1
1.1%
15715 1
1.1%

433
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4292.554348
Minimum0
Maximum18954
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:41.999379image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.95
Q11300
median2758
Q37194.25
95-th percentile11114.1
Maximum18954
Range18954
Interquartile range (IQR)5894.25

Descriptive statistics

Standard deviation4134.48047
Coefficient of variation (CV)0.9631748686
Kurtosis1.050324646
Mean4292.554348
Median Absolute Deviation (MAD)2363.5
Skewness1.200117432
Sum394915
Variance17093928.76
MonotonicityNot monotonic
2022-12-08T10:53:42.132540image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1999 1
 
1.1%
1989 1
 
1.1%
2795 1
 
1.1%
1334 1
 
1.1%
7479 1
 
1.1%
3311 1
 
1.1%
1365 1
 
1.1%
1089 1
 
1.1%
2590 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
9 1
 
1.1%
28 1
 
1.1%
58 1
 
1.1%
89 1
 
1.1%
ValueCountFrequency (%)
18954 1
1.1%
15847 1
1.1%
14519 1
1.1%
13041 1
1.1%
11234 1
1.1%

434
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4793.543478
Minimum0
Maximum17190
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:42.278257image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q11545.75
median3240
Q37822
95-th percentile13653.85
Maximum17190
Range17190
Interquartile range (IQR)6276.25

Descriptive statistics

Standard deviation4372.997721
Coefficient of variation (CV)0.9122682918
Kurtosis0.06530943424
Mean4793.543478
Median Absolute Deviation (MAD)2740
Skewness0.9580618944
Sum441006
Variance19123109.06
MonotonicityNot monotonic
2022-12-08T10:53:42.401957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2 2
 
2.2%
2115 1
 
1.1%
1822 1
 
1.1%
3127 1
 
1.1%
1545 1
 
1.1%
8614 1
 
1.1%
4176 1
 
1.1%
2308 1
 
1.1%
1149 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 2
2.2%
5 1
 
1.1%
31 1
 
1.1%
68 1
 
1.1%
ValueCountFrequency (%)
17190 1
1.1%
16079 1
1.1%
14584 1
1.1%
14442 1
1.1%
13804 1
1.1%

435
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4225.673913
Minimum0
Maximum16478
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:42.527142image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.65
Q11393
median2780
Q36970.5
95-th percentile11269.45
Maximum16478
Range16478
Interquartile range (IQR)5577.5

Descriptive statistics

Standard deviation3921.922494
Coefficient of variation (CV)0.9281176386
Kurtosis0.2935583208
Mean4225.673913
Median Absolute Deviation (MAD)2429
Skewness1.011721619
Sum388762
Variance15381476.05
MonotonicityNot monotonic
2022-12-08T10:53:42.658906image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1499 2
 
2.2%
2287 1
 
1.1%
9088 1
 
1.1%
2656 1
 
1.1%
7394 1
 
1.1%
3555 1
 
1.1%
1469 1
 
1.1%
952 1
 
1.1%
2537 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
12 1
 
1.1%
15 1
 
1.1%
34 1
 
1.1%
ValueCountFrequency (%)
16478 1
1.1%
15206 1
1.1%
12674 1
1.1%
12433 1
1.1%
11490 1
1.1%

436
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4653.684783
Minimum0
Maximum16882
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:42.793581image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q11613.75
median3212.5
Q37232.5
95-th percentile12174.8
Maximum16882
Range16882
Interquartile range (IQR)5618.75

Descriptive statistics

Standard deviation4166.735228
Coefficient of variation (CV)0.8953625831
Kurtosis-0.06146906748
Mean4653.684783
Median Absolute Deviation (MAD)2658.5
Skewness0.8818518192
Sum428139
Variance17361682.46
MonotonicityNot monotonic
2022-12-08T10:53:42.924746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1 2
 
2.2%
68 2
 
2.2%
2152 1
 
1.1%
6617 1
 
1.1%
2505 1
 
1.1%
3025 1
 
1.1%
2136 1
 
1.1%
9340 1
 
1.1%
3767 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 3
3.3%
1 2
2.2%
5 1
 
1.1%
30 1
 
1.1%
68 2
2.2%
ValueCountFrequency (%)
16882 1
1.1%
15254 1
1.1%
14370 1
1.1%
12912 1
1.1%
12892 1
1.1%

437
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5654.630435
Minimum0
Maximum22187
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:43.052923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11809.25
median3318.5
Q38978.75
95-th percentile14733.85
Maximum22187
Range22187
Interquartile range (IQR)7169.5

Descriptive statistics

Standard deviation5335.144928
Coefficient of variation (CV)0.9435001968
Kurtosis0.1140442373
Mean5654.630435
Median Absolute Deviation (MAD)2932.5
Skewness0.9779125073
Sum520226
Variance28463771.4
MonotonicityNot monotonic
2022-12-08T10:53:43.183094image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2971 1
 
1.1%
2393 1
 
1.1%
3143 1
 
1.1%
1854 1
 
1.1%
10132 1
 
1.1%
5458 1
 
1.1%
2059 1
 
1.1%
1196 1
 
1.1%
2629 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
16 1
 
1.1%
19 1
 
1.1%
68 1
 
1.1%
134 1
 
1.1%
ValueCountFrequency (%)
22187 1
1.1%
19227 1
1.1%
18381 1
1.1%
16980 1
1.1%
15379 1
1.1%

438
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4951.402174
Minimum0
Maximum18266
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:43.301811image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11213
median3108.5
Q38140
95-th percentile13569.45
Maximum18266
Range18266
Interquartile range (IQR)6927

Descriptive statistics

Standard deviation4578.095741
Coefficient of variation (CV)0.9246059158
Kurtosis0.2846076216
Mean4951.402174
Median Absolute Deviation (MAD)2756
Skewness0.9718546671
Sum455529
Variance20958960.62
MonotonicityNot monotonic
2022-12-08T10:53:43.419014image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3040 2
 
2.2%
1425 1
 
1.1%
2989 1
 
1.1%
3083 1
 
1.1%
2040 1
 
1.1%
8659 1
 
1.1%
5877 1
 
1.1%
2032 1
 
1.1%
1229 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
5 1
 
1.1%
42 1
 
1.1%
57 1
 
1.1%
125 1
 
1.1%
ValueCountFrequency (%)
18266 1
1.1%
17674 1
1.1%
17133 1
1.1%
14538 1
1.1%
14054 1
1.1%

439
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4735.336957
Minimum0
Maximum18063
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:43.554835image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11268
median3021.5
Q38104
95-th percentile12488
Maximum18063
Range18063
Interquartile range (IQR)6836

Descriptive statistics

Standard deviation4445.127297
Coefficient of variation (CV)0.9387140425
Kurtosis0.3933247546
Mean4735.336957
Median Absolute Deviation (MAD)2493
Skewness1.042439451
Sum435651
Variance19759156.69
MonotonicityNot monotonic
2022-12-08T10:53:43.684014image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2185 1
 
1.1%
1768 1
 
1.1%
2494 1
 
1.1%
1308 1
 
1.1%
8323 1
 
1.1%
4168 1
 
1.1%
1448 1
 
1.1%
989 1
 
1.1%
3075 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
11 1
 
1.1%
41 1
 
1.1%
64 1
 
1.1%
ValueCountFrequency (%)
18063 1
1.1%
17938 1
1.1%
15637 1
1.1%
13867 1
1.1%
12642 1
1.1%

440
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4263.815217
Minimum0
Maximum17147
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:43.825661image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.45
Q1919.5
median3011
Q36775.5
95-th percentile12043.05
Maximum17147
Range17147
Interquartile range (IQR)5856

Descriptive statistics

Standard deviation4078.330242
Coefficient of variation (CV)0.956497886
Kurtosis0.4086690818
Mean4263.815217
Median Absolute Deviation (MAD)2586
Skewness1.056460779
Sum392271
Variance16632777.56
MonotonicityNot monotonic
2022-12-08T10:53:43.950844image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1297 2
 
2.2%
3234 2
 
2.2%
912 1
 
1.1%
2107 1
 
1.1%
860 1
 
1.1%
6816 1
 
1.1%
4083 1
 
1.1%
1286 1
 
1.1%
523 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
20 1
 
1.1%
98 1
 
1.1%
137 1
 
1.1%
ValueCountFrequency (%)
17147 1
1.1%
15573 1
1.1%
13083 1
1.1%
12445 1
1.1%
12125 1
1.1%

441
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4495.532609
Minimum0
Maximum18649
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:44.080293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.5
Q11344.25
median2969.5
Q37000
95-th percentile12080.05
Maximum18649
Range18649
Interquartile range (IQR)5655.75

Descriptive statistics

Standard deviation4380.037529
Coefficient of variation (CV)0.9743089219
Kurtosis0.6811419145
Mean4495.532609
Median Absolute Deviation (MAD)2388
Skewness1.155634597
Sum413589
Variance19184728.76
MonotonicityNot monotonic
2022-12-08T10:53:44.223930image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2561 1
 
1.1%
11572 1
 
1.1%
2308 1
 
1.1%
1818 1
 
1.1%
5774 1
 
1.1%
3236 1
 
1.1%
1023 1
 
1.1%
801 1
 
1.1%
2928 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
32 1
 
1.1%
50 1
 
1.1%
65 1
 
1.1%
ValueCountFrequency (%)
18649 1
1.1%
16949 1
1.1%
15873 1
1.1%
12745 1
1.1%
12382 1
1.1%

442
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4855.141304
Minimum0
Maximum17483
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:44.353099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q11482.75
median3182
Q37348.75
95-th percentile12743.35
Maximum17483
Range17483
Interquartile range (IQR)5866

Descriptive statistics

Standard deviation4484.941659
Coefficient of variation (CV)0.9237510049
Kurtosis-0.1273558117
Mean4855.141304
Median Absolute Deviation (MAD)2781
Skewness0.9121343372
Sum446673
Variance20114701.68
MonotonicityNot monotonic
2022-12-08T10:53:44.476954image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2691 1
 
1.1%
12220 1
 
1.1%
4186 1
 
1.1%
1730 1
 
1.1%
8148 1
 
1.1%
5245 1
 
1.1%
1678 1
 
1.1%
1296 1
 
1.1%
3105 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
4 1
 
1.1%
5 1
 
1.1%
ValueCountFrequency (%)
17483 1
1.1%
16473 1
1.1%
14579 1
1.1%
14479 1
1.1%
12778 1
1.1%

443
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4220.913043
Minimum0
Maximum16605
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:44.610622image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.6
Q11076
median2680.5
Q37130
95-th percentile11782.95
Maximum16605
Range16605
Interquartile range (IQR)6054

Descriptive statistics

Standard deviation4096.372036
Coefficient of variation (CV)0.9704942969
Kurtosis0.2600155325
Mean4220.913043
Median Absolute Deviation (MAD)2282
Skewness1.056259851
Sum388324
Variance16780263.86
MonotonicityNot monotonic
2022-12-08T10:53:44.732807image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1892 1
 
1.1%
8241 1
 
1.1%
2416 1
 
1.1%
1522 1
 
1.1%
6995 1
 
1.1%
3428 1
 
1.1%
1013 1
 
1.1%
843 1
 
1.1%
1473 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
14 1
 
1.1%
26 1
 
1.1%
34 1
 
1.1%
55 1
 
1.1%
ValueCountFrequency (%)
16605 1
1.1%
14770 1
1.1%
14645 1
1.1%
13206 1
1.1%
12746 1
1.1%

444
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5078.663043
Minimum0
Maximum21190
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:44.866971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.7
Q11552.5
median3074
Q38952.5
95-th percentile13740.9
Maximum21190
Range21190
Interquartile range (IQR)7400

Descriptive statistics

Standard deviation4868.808502
Coefficient of variation (CV)0.958679176
Kurtosis0.2661631627
Mean5078.663043
Median Absolute Deviation (MAD)2722
Skewness1.011075006
Sum467237
Variance23705296.23
MonotonicityNot monotonic
2022-12-08T10:53:44.991565image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2331 1
 
1.1%
11751 1
 
1.1%
3361 1
 
1.1%
1667 1
 
1.1%
10067 1
 
1.1%
3643 1
 
1.1%
1693 1
 
1.1%
1094 1
 
1.1%
2905 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
15 1
 
1.1%
17 1
 
1.1%
30 1
 
1.1%
ValueCountFrequency (%)
21190 1
1.1%
17629 1
1.1%
15606 1
1.1%
13998 1
1.1%
13764 1
1.1%

445
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4798.804348
Minimum0
Maximum18854
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:45.122247image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q11361.5
median3305.5
Q37874.25
95-th percentile12623.2
Maximum18854
Range18854
Interquartile range (IQR)6512.75

Descriptive statistics

Standard deviation4488.985351
Coefficient of variation (CV)0.9354382936
Kurtosis0.2612652201
Mean4798.804348
Median Absolute Deviation (MAD)2832
Skewness0.9999964673
Sum441490
Variance20150989.48
MonotonicityNot monotonic
2022-12-08T10:53:45.268373image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2745 1
 
1.1%
9870 1
 
1.1%
3696 1
 
1.1%
1908 1
 
1.1%
8116 1
 
1.1%
3411 1
 
1.1%
1553 1
 
1.1%
1065 1
 
1.1%
3076 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
4 1
 
1.1%
6 1
 
1.1%
40 1
 
1.1%
ValueCountFrequency (%)
18854 1
1.1%
16692 1
1.1%
15574 1
1.1%
13978 1
1.1%
12808 1
1.1%

446
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6310.01087
Minimum0
Maximum23649
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:45.417013image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11721.75
median3792.5
Q310286
95-th percentile16967.8
Maximum23649
Range23649
Interquartile range (IQR)8564.25

Descriptive statistics

Standard deviation5871.89177
Coefficient of variation (CV)0.9305676157
Kurtosis-0.09693698412
Mean6310.01087
Median Absolute Deviation (MAD)3340
Skewness0.9273510138
Sum580521
Variance34479112.96
MonotonicityNot monotonic
2022-12-08T10:53:45.562141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3288 1
 
1.1%
2856 1
 
1.1%
3942 1
 
1.1%
2396 1
 
1.1%
10284 1
 
1.1%
5530 1
 
1.1%
3058 1
 
1.1%
1621 1
 
1.1%
3463 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
6 1
 
1.1%
44 1
 
1.1%
166 1
 
1.1%
ValueCountFrequency (%)
23649 1
1.1%
20397 1
1.1%
20321 1
1.1%
17521 1
1.1%
17443 1
1.1%

447
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5473.336957
Minimum0
Maximum22300
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:45.721141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11133
median3573.5
Q39337.5
95-th percentile14410.65
Maximum22300
Range22300
Interquartile range (IQR)8204.5

Descriptive statistics

Standard deviation5409.053366
Coefficient of variation (CV)0.9882551374
Kurtosis0.520908799
Mean5473.336957
Median Absolute Deviation (MAD)3191
Skewness1.092945018
Sum503547
Variance29257858.31
MonotonicityNot monotonic
2022-12-08T10:53:45.871250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2414 1
 
1.1%
933 1
 
1.1%
1933 1
 
1.1%
1472 1
 
1.1%
9429 1
 
1.1%
5430 1
 
1.1%
1951 1
 
1.1%
788 1
 
1.1%
1052 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
115 1
 
1.1%
121 1
 
1.1%
124 1
 
1.1%
ValueCountFrequency (%)
22300 1
1.1%
20803 1
1.1%
20137 1
1.1%
16121 1
1.1%
14970 1
1.1%

448
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5601.673913
Minimum0
Maximum23093
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:46.010418image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11579
median3639
Q39093.25
95-th percentile15382.3
Maximum23093
Range23093
Interquartile range (IQR)7514.25

Descriptive statistics

Standard deviation5462.759773
Coefficient of variation (CV)0.9752013161
Kurtosis0.7443948853
Mean5601.673913
Median Absolute Deviation (MAD)3299.5
Skewness1.148686536
Sum515354
Variance29841744.33
MonotonicityNot monotonic
2022-12-08T10:53:46.128623image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3072 1
 
1.1%
2289 1
 
1.1%
4439 1
 
1.1%
1904 1
 
1.1%
9205 1
 
1.1%
4450 1
 
1.1%
1589 1
 
1.1%
1335 1
 
1.1%
3124 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
17 1
 
1.1%
21 1
 
1.1%
52 1
 
1.1%
ValueCountFrequency (%)
23093 1
1.1%
22542 1
1.1%
18232 1
1.1%
16059 1
1.1%
15412 1
1.1%

449
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4306.706522
Minimum0
Maximum16082
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:46.251817image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11188.5
median2873.5
Q37292
95-th percentile11996.15
Maximum16082
Range16082
Interquartile range (IQR)6103.5

Descriptive statistics

Standard deviation3986.967504
Coefficient of variation (CV)0.9257578811
Kurtosis0.1090846966
Mean4306.706522
Median Absolute Deviation (MAD)2466.5
Skewness0.9549180092
Sum396217
Variance15895909.88
MonotonicityNot monotonic
2022-12-08T10:53:46.385979image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2482 2
 
2.2%
1 2
 
2.2%
2520 1
 
1.1%
6160 1
 
1.1%
3324 1
 
1.1%
1674 1
 
1.1%
6116 1
 
1.1%
4455 1
 
1.1%
1212 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
3 1
 
1.1%
12 1
 
1.1%
32 1
 
1.1%
ValueCountFrequency (%)
16082 1
1.1%
14567 1
1.1%
14041 1
1.1%
12530 1
1.1%
12528 1
1.1%

450
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5025.75
Minimum0
Maximum18371
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:46.546582image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q11291.25
median3626.5
Q38411
95-th percentile13717.7
Maximum18371
Range18371
Interquartile range (IQR)7119.75

Descriptive statistics

Standard deviation4641.367558
Coefficient of variation (CV)0.9235173969
Kurtosis0.08537434478
Mean5025.75
Median Absolute Deviation (MAD)3124.5
Skewness0.9560679988
Sum462369
Variance21542292.8
MonotonicityNot monotonic
2022-12-08T10:53:46.707901image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2389 1
 
1.1%
11113 1
 
1.1%
3991 1
 
1.1%
1659 1
 
1.1%
9674 1
 
1.1%
4490 1
 
1.1%
1771 1
 
1.1%
1274 1
 
1.1%
2516 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
5 1
 
1.1%
53 1
 
1.1%
132 1
 
1.1%
ValueCountFrequency (%)
18371 1
1.1%
16952 1
1.1%
16782 1
1.1%
14854 1
1.1%
13963 1
1.1%

451
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5949.967391
Minimum0
Maximum23780
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:46.847045image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11388.5
median3574.5
Q39513.75
95-th percentile17136.85
Maximum23780
Range23780
Interquartile range (IQR)8125.25

Descriptive statistics

Standard deviation5912.722505
Coefficient of variation (CV)0.9937403209
Kurtosis0.4956741917
Mean5949.967391
Median Absolute Deviation (MAD)3305.5
Skewness1.111149262
Sum547397
Variance34960287.42
MonotonicityNot monotonic
2022-12-08T10:53:46.970621image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3406 1
 
1.1%
12246 1
 
1.1%
3534 1
 
1.1%
1719 1
 
1.1%
10679 1
 
1.1%
5071 1
 
1.1%
2137 1
 
1.1%
1161 1
 
1.1%
2853 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
5 1
 
1.1%
13 1
 
1.1%
ValueCountFrequency (%)
23780 1
1.1%
23539 1
1.1%
19869 1
1.1%
18212 1
1.1%
17188 1
1.1%

452
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6347.619565
Minimum0
Maximum24808
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:47.105284image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11867.25
median4042
Q310568.25
95-th percentile18246.35
Maximum24808
Range24808
Interquartile range (IQR)8701

Descriptive statistics

Standard deviation5942.371464
Coefficient of variation (CV)0.9361574686
Kurtosis0.2866186879
Mean6347.619565
Median Absolute Deviation (MAD)3463
Skewness1.02553734
Sum583981
Variance35311778.61
MonotonicityNot monotonic
2022-12-08T10:53:47.235443image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2826 1
 
1.1%
11204 1
 
1.1%
4388 1
 
1.1%
2155 1
 
1.1%
12024 1
 
1.1%
6510 1
 
1.1%
3008 1
 
1.1%
1472 1
 
1.1%
3470 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
43 1
 
1.1%
53 1
 
1.1%
ValueCountFrequency (%)
24808 1
1.1%
20976 1
1.1%
20649 1
1.1%
19208 1
1.1%
18413 1
1.1%

453
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5221.195652
Minimum0
Maximum22584
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:47.374607image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11108.25
median2922
Q38474.75
95-th percentile14348.75
Maximum22584
Range22584
Interquartile range (IQR)7366.5

Descriptive statistics

Standard deviation5283.627534
Coefficient of variation (CV)1.011957392
Kurtosis1.051149798
Mean5221.195652
Median Absolute Deviation (MAD)2738
Skewness1.207994439
Sum480350
Variance27916719.92
MonotonicityNot monotonic
2022-12-08T10:53:47.491807image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2408 1
 
1.1%
773 1
 
1.1%
2780 1
 
1.1%
1543 1
 
1.1%
9089 1
 
1.1%
4139 1
 
1.1%
1440 1
 
1.1%
867 1
 
1.1%
1149 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
3 1
 
1.1%
35 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
22584 1
1.1%
21344 1
1.1%
20220 1
1.1%
14714 1
1.1%
14665 1
1.1%

454
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5478.532609
Minimum0
Maximum20362
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:47.621876image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11419.5
median3582.5
Q39019.25
95-th percentile15338.65
Maximum20362
Range20362
Interquartile range (IQR)7599.75

Descriptive statistics

Standard deviation5132.871767
Coefficient of variation (CV)0.9369063094
Kurtosis0.1872524648
Mean5478.532609
Median Absolute Deviation (MAD)3073.5
Skewness1.009371942
Sum504025
Variance26346372.58
MonotonicityNot monotonic
2022-12-08T10:53:47.755033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2454 1
 
1.1%
1965 1
 
1.1%
4670 1
 
1.1%
2011 1
 
1.1%
9003 1
 
1.1%
5597 1
 
1.1%
2528 1
 
1.1%
1423 1
 
1.1%
2975 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
12 1
 
1.1%
19 1
 
1.1%
112 1
 
1.1%
ValueCountFrequency (%)
20362 1
1.1%
18792 1
1.1%
18166 1
1.1%
16803 1
1.1%
16734 1
1.1%

455
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4962.152174
Minimum0
Maximum18712
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:47.888195image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.75
Q11768.25
median3433.5
Q37890
95-th percentile14313.9
Maximum18712
Range18712
Interquartile range (IQR)6121.75

Descriptive statistics

Standard deviation4504.051385
Coefficient of variation (CV)0.9076810277
Kurtosis0.7794695832
Mean4962.152174
Median Absolute Deviation (MAD)2778.5
Skewness1.115172744
Sum456518
Variance20286478.88
MonotonicityNot monotonic
2022-12-08T10:53:48.023865image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1862 1
 
1.1%
7870 1
 
1.1%
3261 1
 
1.1%
1816 1
 
1.1%
7951 1
 
1.1%
5412 1
 
1.1%
1338 1
 
1.1%
1122 1
 
1.1%
3341 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
3 1
 
1.1%
8 1
 
1.1%
13 1
 
1.1%
34 1
 
1.1%
ValueCountFrequency (%)
18712 1
1.1%
17657 1
1.1%
16542 1
1.1%
15840 1
1.1%
15503 1
1.1%

456
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4527.815217
Minimum0
Maximum16950
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:48.188502image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.05
Q11433
median3186
Q37047
95-th percentile12603.3
Maximum16950
Range16950
Interquartile range (IQR)5614

Descriptive statistics

Standard deviation4132.003489
Coefficient of variation (CV)0.9125821816
Kurtosis0.3563063794
Mean4527.815217
Median Absolute Deviation (MAD)2600.5
Skewness1.011016521
Sum416559
Variance17073452.83
MonotonicityNot monotonic
2022-12-08T10:53:48.322164image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
9 2
 
2.2%
1921 1
 
1.1%
1991 1
 
1.1%
3169 1
 
1.1%
1908 1
 
1.1%
8211 1
 
1.1%
4440 1
 
1.1%
1206 1
 
1.1%
1103 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
9 2
2.2%
20 1
 
1.1%
43 1
 
1.1%
62 1
 
1.1%
ValueCountFrequency (%)
16950 1
1.1%
16585 1
1.1%
13642 1
1.1%
13280 1
1.1%
12908 1
1.1%

457
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5803.271739
Minimum0
Maximum26073
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:48.466425image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11299
median4093.5
Q39134
95-th percentile16189.75
Maximum26073
Range26073
Interquartile range (IQR)7835

Descriptive statistics

Standard deviation5703.571569
Coefficient of variation (CV)0.9828200066
Kurtosis1.049389889
Mean5803.271739
Median Absolute Deviation (MAD)3539.5
Skewness1.190979456
Sum533901
Variance32530728.64
MonotonicityNot monotonic
2022-12-08T10:53:48.602584image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
19 2
 
2.2%
2733 1
 
1.1%
9117 1
 
1.1%
4084 1
 
1.1%
4458 1
 
1.1%
2270 1
 
1.1%
10999 1
 
1.1%
4194 1
 
1.1%
1653 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
19 2
 
2.2%
26 1
 
1.1%
150 1
 
1.1%
ValueCountFrequency (%)
26073 1
1.1%
20787 1
1.1%
19730 1
1.1%
19141 1
1.1%
16792 1
1.1%

458
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3914.282609
Minimum0
Maximum16328
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:48.733777image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11131.25
median2532.5
Q36355.25
95-th percentile10708.25
Maximum16328
Range16328
Interquartile range (IQR)5224

Descriptive statistics

Standard deviation3687.102145
Coefficient of variation (CV)0.9419611493
Kurtosis0.6773266587
Mean3914.282609
Median Absolute Deviation (MAD)2066.5
Skewness1.092709295
Sum360114
Variance13594722.23
MonotonicityNot monotonic
2022-12-08T10:53:48.864938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1174 2
 
2.2%
9036 1
 
1.1%
2529 1
 
1.1%
3106 1
 
1.1%
1645 1
 
1.1%
6850 1
 
1.1%
3183 1
 
1.1%
912 1
 
1.1%
3444 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
3 1
 
1.1%
52 1
 
1.1%
83 1
 
1.1%
ValueCountFrequency (%)
16328 1
1.1%
13962 1
1.1%
12729 1
1.1%
11708 1
1.1%
11140 1
1.1%

459
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5240.423913
Minimum0
Maximum19995
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:49.021948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11741
median3540.5
Q38082
95-th percentile14855.15
Maximum19995
Range19995
Interquartile range (IQR)6341

Descriptive statistics

Standard deviation4852.328561
Coefficient of variation (CV)0.9259419928
Kurtosis0.1322051884
Mean5240.423913
Median Absolute Deviation (MAD)3111.5
Skewness0.9832021523
Sum482119
Variance23545092.47
MonotonicityNot monotonic
2022-12-08T10:53:49.159108image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
173 2
 
2.2%
3 2
 
2.2%
3731 1
 
1.1%
861 1
 
1.1%
2057 1
 
1.1%
3498 1
 
1.1%
1738 1
 
1.1%
9635 1
 
1.1%
4512 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
3 2
 
2.2%
27 1
 
1.1%
53 1
 
1.1%
157 1
 
1.1%
ValueCountFrequency (%)
19995 1
1.1%
17144 1
1.1%
16747 1
1.1%
15346 1
1.1%
15013 1
1.1%

460
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5217.380435
Minimum0
Maximum20269
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:49.295264image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11437.75
median3513
Q38484.75
95-th percentile13532
Maximum20269
Range20269
Interquartile range (IQR)7047

Descriptive statistics

Standard deviation4832.161312
Coefficient of variation (CV)0.9261661809
Kurtosis0.1589752717
Mean5217.380435
Median Absolute Deviation (MAD)3084.5
Skewness0.9433558788
Sum479999
Variance23349782.94
MonotonicityNot monotonic
2022-12-08T10:53:49.423953image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2221 1
 
1.1%
1666 1
 
1.1%
3533 1
 
1.1%
1501 1
 
1.1%
9564 1
 
1.1%
4208 1
 
1.1%
1362 1
 
1.1%
926 1
 
1.1%
2804 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
6 1
 
1.1%
29 1
 
1.1%
85 1
 
1.1%
ValueCountFrequency (%)
20269 1
1.1%
17670 1
1.1%
17375 1
1.1%
14535 1
1.1%
14005 1
1.1%

461
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5746.663043
Minimum0
Maximum24916
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:49.553643image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.65
Q11509.5
median3441
Q39185.5
95-th percentile15118.35
Maximum24916
Range24916
Interquartile range (IQR)7676

Descriptive statistics

Standard deviation5529.26076
Coefficient of variation (CV)0.9621689524
Kurtosis0.8668064999
Mean5746.663043
Median Absolute Deviation (MAD)2944.5
Skewness1.144702893
Sum528693
Variance30572724.56
MonotonicityNot monotonic
2022-12-08T10:53:49.691790image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
3225 1
 
1.1%
12372 1
 
1.1%
4533 1
 
1.1%
1879 1
 
1.1%
8833 1
 
1.1%
5176 1
 
1.1%
1409 1
 
1.1%
1457 1
 
1.1%
4280 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
5 1
 
1.1%
35 1
 
1.1%
ValueCountFrequency (%)
24916 1
1.1%
21699 1
1.1%
18741 1
1.1%
16093 1
1.1%
15450 1
1.1%

462
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5140.717391
Minimum0
Maximum21038
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:49.816480image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11188
median3433
Q38657.5
95-th percentile14322.3
Maximum21038
Range21038
Interquartile range (IQR)7469.5

Descriptive statistics

Standard deviation4827.646113
Coefficient of variation (CV)0.9390996909
Kurtosis0.2345183699
Mean5140.717391
Median Absolute Deviation (MAD)3042
Skewness0.9762649876
Sum472946
Variance23306167
MonotonicityNot monotonic
2022-12-08T10:53:49.950636image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2617 1
 
1.1%
2735 1
 
1.1%
3266 1
 
1.1%
1921 1
 
1.1%
9516 1
 
1.1%
4708 1
 
1.1%
1232 1
 
1.1%
1179 1
 
1.1%
3665 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
7 1
 
1.1%
14 1
 
1.1%
38 1
 
1.1%
ValueCountFrequency (%)
21038 1
1.1%
16607 1
1.1%
15189 1
1.1%
14786 1
1.1%
14484 1
1.1%

463
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5007.358696
Minimum0
Maximum22086
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:50.087780image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q11109.25
median3220.5
Q37354.5
95-th percentile17950.55
Maximum22086
Range22086
Interquartile range (IQR)6245.25

Descriptive statistics

Standard deviation5263.43877
Coefficient of variation (CV)1.051140749
Kurtosis1.926848061
Mean5007.358696
Median Absolute Deviation (MAD)2695.5
Skewness1.485343767
Sum460677
Variance27703787.68
MonotonicityNot monotonic
2022-12-08T10:53:50.214470image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
4296 2
 
2.2%
1684 1
 
1.1%
6897 1
 
1.1%
1376 1
 
1.1%
7201 1
 
1.1%
5466 1
 
1.1%
1411 1
 
1.1%
765 1
 
1.1%
1736 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
24 1
 
1.1%
42 1
 
1.1%
71 1
 
1.1%
ValueCountFrequency (%)
22086 1
1.1%
21147 1
1.1%
20207 1
1.1%
18551 1
1.1%
18511 1
1.1%

464
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5141.445652
Minimum0
Maximum20314
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:50.354194image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11349
median3186.5
Q38574.75
95-th percentile14539.5
Maximum20314
Range20314
Interquartile range (IQR)7225.75

Descriptive statistics

Standard deviation4937.427963
Coefficient of variation (CV)0.960319003
Kurtosis0.2033756718
Mean5141.445652
Median Absolute Deviation (MAD)2879.5
Skewness1.021209067
Sum473013
Variance24378194.89
MonotonicityNot monotonic
2022-12-08T10:53:50.496335image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 2
 
2.2%
2232 1
 
1.1%
2401 1
 
1.1%
3888 1
 
1.1%
2007 1
 
1.1%
9100 1
 
1.1%
4361 1
 
1.1%
1553 1
 
1.1%
1359 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
16 1
 
1.1%
19 1
 
1.1%
57 1
 
1.1%
ValueCountFrequency (%)
20314 1
1.1%
18486 1
1.1%
15871 1
1.1%
14969 1
1.1%
14908 1
1.1%

465
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4891.695652
Minimum0
Maximum21005
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:50.656493image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11225.75
median3225.5
Q38137.25
95-th percentile13296.45
Maximum21005
Range21005
Interquartile range (IQR)6911.5

Descriptive statistics

Standard deviation4743.252919
Coefficient of variation (CV)0.9696541356
Kurtosis0.5852611463
Mean4891.695652
Median Absolute Deviation (MAD)2855.5
Skewness1.077547101
Sum450036
Variance22498448.26
MonotonicityNot monotonic
2022-12-08T10:53:50.796639image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2880 1
 
1.1%
1558 1
 
1.1%
2440 1
 
1.1%
1525 1
 
1.1%
7616 1
 
1.1%
3752 1
 
1.1%
1400 1
 
1.1%
794 1
 
1.1%
3458 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
38 1
 
1.1%
75 1
 
1.1%
80 1
 
1.1%
ValueCountFrequency (%)
21005 1
1.1%
17510 1
1.1%
15907 1
1.1%
13935 1
1.1%
13528 1
1.1%

466
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5671.586957
Minimum0
Maximum25063
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:50.940282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.15
Q11804.25
median3068.5
Q39548
95-th percentile16576.85
Maximum25063
Range25063
Interquartile range (IQR)7743.75

Descriptive statistics

Standard deviation5592.469319
Coefficient of variation (CV)0.9860501764
Kurtosis0.7992117799
Mean5671.586957
Median Absolute Deviation (MAD)2757.5
Skewness1.164560068
Sum521786
Variance31275713.08
MonotonicityNot monotonic
2022-12-08T10:53:51.094388image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2406 1
 
1.1%
11690 1
 
1.1%
3568 1
 
1.1%
1808 1
 
1.1%
9375 1
 
1.1%
5362 1
 
1.1%
2831 1
 
1.1%
1375 1
 
1.1%
2564 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
14 1
 
1.1%
19 1
 
1.1%
27 1
 
1.1%
ValueCountFrequency (%)
25063 1
1.1%
20094 1
1.1%
18785 1
1.1%
17186 1
1.1%
16716 1
1.1%

467
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6060.467391
Minimum0
Maximum22305
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:51.244143image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q11454
median3745.5
Q310545.25
95-th percentile16871.85
Maximum22305
Range22305
Interquartile range (IQR)9091.25

Descriptive statistics

Standard deviation5724.966346
Coefficient of variation (CV)0.9446410608
Kurtosis0.1581616202
Mean6060.467391
Median Absolute Deviation (MAD)3383
Skewness0.9720208876
Sum557563
Variance32775239.66
MonotonicityNot monotonic
2022-12-08T10:53:51.375301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
10907 2
 
2.2%
584 2
 
2.2%
2806 1
 
1.1%
2921 1
 
1.1%
5167 1
 
1.1%
1757 1
 
1.1%
11895 1
 
1.1%
4275 1
 
1.1%
2275 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
6 1
 
1.1%
11 1
 
1.1%
24 1
 
1.1%
65 1
 
1.1%
ValueCountFrequency (%)
22305 1
1.1%
21769 1
1.1%
21523 1
1.1%
17161 1
1.1%
16989 1
1.1%

468
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5674.98913
Minimum0
Maximum22771
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:51.501476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.85
Q11602.75
median3279
Q39452.75
95-th percentile17120.45
Maximum22771
Range22771
Interquartile range (IQR)7850

Descriptive statistics

Standard deviation5680.89012
Coefficient of variation (CV)1.001039824
Kurtosis0.4525958533
Mean5674.98913
Median Absolute Deviation (MAD)3022.5
Skewness1.125436261
Sum522099
Variance32272512.56
MonotonicityNot monotonic
2022-12-08T10:53:51.642122image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
13885 2
 
2.2%
2436 1
 
1.1%
11421 1
 
1.1%
1626 1
 
1.1%
9662 1
 
1.1%
5460 1
 
1.1%
1265 1
 
1.1%
1082 1
 
1.1%
3725 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
9 1
 
1.1%
32 1
 
1.1%
ValueCountFrequency (%)
22771 1
1.1%
21878 1
1.1%
19342 1
1.1%
17806 1
1.1%
17165 1
1.1%

469
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3876.391304
Minimum0
Maximum15332
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:51.773868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.7
Q11126.25
median2936.5
Q36135.75
95-th percentile10568.45
Maximum15332
Range15332
Interquartile range (IQR)5009.5

Descriptive statistics

Standard deviation3523.110982
Coefficient of variation (CV)0.9088636066
Kurtosis0.3564283615
Mean3876.391304
Median Absolute Deviation (MAD)2452.5
Skewness0.9867691947
Sum356628
Variance12412310.99
MonotonicityNot monotonic
2022-12-08T10:53:51.900049image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
231 2
 
2.2%
1349 1
 
1.1%
1100 1
 
1.1%
2453 1
 
1.1%
1463 1
 
1.1%
6753 1
 
1.1%
3266 1
 
1.1%
1457 1
 
1.1%
804 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
16 1
 
1.1%
19 1
 
1.1%
106 1
 
1.1%
ValueCountFrequency (%)
15332 1
1.1%
12579 1
1.1%
11856 1
1.1%
11401 1
1.1%
10833 1
1.1%

470
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5015.282609
Minimum0
Maximum20651
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:52.037301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11332.75
median3286
Q38151.25
95-th percentile12941.8
Maximum20651
Range20651
Interquartile range (IQR)6818.5

Descriptive statistics

Standard deviation4747.935335
Coefficient of variation (CV)0.9466934777
Kurtosis0.463592766
Mean5015.282609
Median Absolute Deviation (MAD)2913
Skewness1.040593577
Sum461406
Variance22542889.94
MonotonicityNot monotonic
2022-12-08T10:53:52.175444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 2
 
2.2%
2004 1
 
1.1%
1929 1
 
1.1%
3661 1
 
1.1%
1467 1
 
1.1%
9204 1
 
1.1%
4173 1
 
1.1%
1909 1
 
1.1%
1097 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 2
2.2%
48 1
 
1.1%
98 1
 
1.1%
160 1
 
1.1%
ValueCountFrequency (%)
20651 1
1.1%
18449 1
1.1%
15585 1
1.1%
13387 1
1.1%
13054 1
1.1%

471
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5446.836957
Minimum0
Maximum19843
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:52.302632image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile93.55
Q11521
median3640.5
Q39138.5
95-th percentile16564.15
Maximum19843
Range19843
Interquartile range (IQR)7617.5

Descriptive statistics

Standard deviation5161.346537
Coefficient of variation (CV)0.947586017
Kurtosis0.4565881921
Mean5446.836957
Median Absolute Deviation (MAD)3235
Skewness1.072402299
Sum501109
Variance26639498.07
MonotonicityNot monotonic
2022-12-08T10:53:52.433301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1521 2
 
2.2%
0 2
 
2.2%
1858 1
 
1.1%
3147 1
 
1.1%
1682 1
 
1.1%
9649 1
 
1.1%
6809 1
 
1.1%
2263 1
 
1.1%
786 1
 
1.1%
2111 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
3 1
1.1%
13 1
1.1%
93 1
1.1%
94 1
1.1%
ValueCountFrequency (%)
19843 1
1.1%
19795 1
1.1%
18632 1
1.1%
18211 1
1.1%
17019 1
1.1%

472
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4875.173913
Minimum0
Maximum18512
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:52.580416image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11486.25
median3035
Q37649.75
95-th percentile13155.3
Maximum18512
Range18512
Interquartile range (IQR)6163.5

Descriptive statistics

Standard deviation4574.65916
Coefficient of variation (CV)0.9383581472
Kurtosis0.1459355927
Mean4875.173913
Median Absolute Deviation (MAD)2766
Skewness0.987687161
Sum448516
Variance20927506.43
MonotonicityNot monotonic
2022-12-08T10:53:52.704167image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2251 2
 
2.2%
7426 1
 
1.1%
2026 1
 
1.1%
4646 1
 
1.1%
2087 1
 
1.1%
8307 1
 
1.1%
4511 1
 
1.1%
1689 1
 
1.1%
1481 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
12 1
 
1.1%
41 1
 
1.1%
42 1
 
1.1%
87 1
 
1.1%
ValueCountFrequency (%)
18512 1
1.1%
17168 1
1.1%
15983 1
1.1%
13301 1
1.1%
13284 1
1.1%

473
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5120.054348
Minimum0
Maximum19499
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:52.848798image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55
Q11651
median3149
Q37955.75
95-th percentile13902.4
Maximum19499
Range19499
Interquartile range (IQR)6304.75

Descriptive statistics

Standard deviation4769.626351
Coefficient of variation (CV)0.9315577583
Kurtosis0.3960374908
Mean5120.054348
Median Absolute Deviation (MAD)2912.5
Skewness1.03047054
Sum471045
Variance22749335.52
MonotonicityNot monotonic
2022-12-08T10:53:52.994915image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2277 1
 
1.1%
10272 1
 
1.1%
3140 1
 
1.1%
1714 1
 
1.1%
8668 1
 
1.1%
4774 1
 
1.1%
1576 1
 
1.1%
1100 1
 
1.1%
3091 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
3 1
 
1.1%
4 1
 
1.1%
28 1
 
1.1%
ValueCountFrequency (%)
19499 1
1.1%
18684 1
1.1%
17172 1
1.1%
14790 1
1.1%
14448 1
1.1%

474
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3985.858696
Minimum0
Maximum16003
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:53.157067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.1
Q11320.5
median2982
Q36354
95-th percentile11397.95
Maximum16003
Range16003
Interquartile range (IQR)5033.5

Descriptive statistics

Standard deviation3682.063273
Coefficient of variation (CV)0.9237816878
Kurtosis0.6955265785
Mean3985.858696
Median Absolute Deviation (MAD)2413
Skewness1.098237215
Sum366699
Variance13557589.95
MonotonicityNot monotonic
2022-12-08T10:53:53.294219image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1809 1
 
1.1%
7572 1
 
1.1%
2334 1
 
1.1%
1417 1
 
1.1%
6328 1
 
1.1%
2996 1
 
1.1%
909 1
 
1.1%
937 1
 
1.1%
2095 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
3 1
 
1.1%
25 1
 
1.1%
44 1
 
1.1%
ValueCountFrequency (%)
16003 1
1.1%
14000 1
1.1%
12662 1
1.1%
12640 1
1.1%
11910 1
1.1%

475
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5459.282609
Minimum0
Maximum19698
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:53.437869image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.1
Q11554.75
median3870.5
Q39299.5
95-th percentile14692.15
Maximum19698
Range19698
Interquartile range (IQR)7744.75

Descriptive statistics

Standard deviation5044.257022
Coefficient of variation (CV)0.9239779993
Kurtosis-0.2070651054
Mean5459.282609
Median Absolute Deviation (MAD)2934
Skewness0.886543469
Sum502254
Variance25444528.91
MonotonicityNot monotonic
2022-12-08T10:53:53.566038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
2.2%
0 2
 
2.2%
2520 1
 
1.1%
1262 1
 
1.1%
2358 1
 
1.1%
1603 1
 
1.1%
9222 1
 
1.1%
6437 1
 
1.1%
2075 1
 
1.1%
1183 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
2 2
2.2%
9 1
1.1%
11 1
1.1%
58 1
1.1%
ValueCountFrequency (%)
19698 1
1.1%
17648 1
1.1%
16782 1
1.1%
15791 1
1.1%
14707 1
1.1%

476
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4562.01087
Minimum0
Maximum19438
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:53.695208image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.65
Q11618.25
median3132.5
Q37241.75
95-th percentile12633.35
Maximum19438
Range19438
Interquartile range (IQR)5623.5

Descriptive statistics

Standard deviation4148.366029
Coefficient of variation (CV)0.9093283966
Kurtosis0.8057768676
Mean4562.01087
Median Absolute Deviation (MAD)2582.5
Skewness1.08379886
Sum419705
Variance17208940.71
MonotonicityNot monotonic
2022-12-08T10:53:53.819910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1869 1
 
1.1%
9643 1
 
1.1%
3393 1
 
1.1%
2150 1
 
1.1%
9122 1
 
1.1%
4603 1
 
1.1%
1544 1
 
1.1%
1397 1
 
1.1%
3626 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
5 1
 
1.1%
22 1
 
1.1%
45 1
 
1.1%
ValueCountFrequency (%)
19438 1
1.1%
14050 1
1.1%
13634 1
1.1%
13081 1
1.1%
12910 1
1.1%

477
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5040.717391
Minimum0
Maximum20317
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:53.968089image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q11068
median3248
Q38332.25
95-th percentile14094.1
Maximum20317
Range20317
Interquartile range (IQR)7264.25

Descriptive statistics

Standard deviation4770.121698
Coefficient of variation (CV)0.9463180195
Kurtosis0.358290569
Mean5040.717391
Median Absolute Deviation (MAD)2987.5
Skewness1.017022556
Sum463746
Variance22754061.02
MonotonicityNot monotonic
2022-12-08T10:53:54.099252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
26 2
 
2.2%
1468 2
 
2.2%
1895 1
 
1.1%
1781 1
 
1.1%
4044 1
 
1.1%
1612 1
 
1.1%
8543 1
 
1.1%
3834 1
 
1.1%
1898 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
4 1
 
1.1%
26 2
2.2%
39 1
 
1.1%
ValueCountFrequency (%)
20317 1
1.1%
17662 1
1.1%
16120 1
1.1%
14543 1
1.1%
14291 1
1.1%

478
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5527.913043
Minimum0
Maximum21608
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:54.244483image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile63.1
Q11507
median3299.5
Q39008.75
95-th percentile15238.8
Maximum21608
Range21608
Interquartile range (IQR)7501.75

Descriptive statistics

Standard deviation5384.934727
Coefficient of variation (CV)0.9741352088
Kurtosis0.02043494443
Mean5527.913043
Median Absolute Deviation (MAD)2844.5
Skewness1.002956492
Sum508568
Variance28997522.01
MonotonicityNot monotonic
2022-12-08T10:53:54.362684image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3131 1
 
1.1%
13955 1
 
1.1%
2579 1
 
1.1%
1592 1
 
1.1%
9383 1
 
1.1%
4211 1
 
1.1%
2070 1
 
1.1%
1022 1
 
1.1%
2469 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
62 1
 
1.1%
64 1
 
1.1%
77 1
 
1.1%
118 1
 
1.1%
ValueCountFrequency (%)
21608 1
1.1%
19922 1
1.1%
17152 1
1.1%
16146 1
1.1%
15560 1
1.1%

479
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4855.086957
Minimum0
Maximum17049
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:54.489861image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11598.75
median3209.5
Q38365.25
95-th percentile13126.3
Maximum17049
Range17049
Interquartile range (IQR)6766.5

Descriptive statistics

Standard deviation4404.244001
Coefficient of variation (CV)0.9071400864
Kurtosis-0.04548083246
Mean4855.086957
Median Absolute Deviation (MAD)2720
Skewness0.929637017
Sum446668
Variance19397365.22
MonotonicityNot monotonic
2022-12-08T10:53:54.614054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2915 1
 
1.1%
1811 1
 
1.1%
3570 1
 
1.1%
2215 1
 
1.1%
8293 1
 
1.1%
3691 1
 
1.1%
1586 1
 
1.1%
1231 1
 
1.1%
2728 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
26 1
 
1.1%
112 1
 
1.1%
113 1
 
1.1%
ValueCountFrequency (%)
17049 1
1.1%
16756 1
1.1%
14931 1
1.1%
14255 1
1.1%
13761 1
1.1%

480
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5186.434783
Minimum0
Maximum21479
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:54.763687image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11383.25
median3436.5
Q38146
95-th percentile13530.15
Maximum21479
Range21479
Interquartile range (IQR)6762.75

Descriptive statistics

Standard deviation4925.583953
Coefficient of variation (CV)0.9497051751
Kurtosis0.5387893195
Mean5186.434783
Median Absolute Deviation (MAD)3102
Skewness1.03659602
Sum477152
Variance24261377.28
MonotonicityNot monotonic
2022-12-08T10:53:54.907820image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2536 1
 
1.1%
1515 1
 
1.1%
2254 1
 
1.1%
1357 1
 
1.1%
10248 1
 
1.1%
4840 1
 
1.1%
2274 1
 
1.1%
602 1
 
1.1%
2372 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
9 1
 
1.1%
36 1
 
1.1%
115 1
 
1.1%
ValueCountFrequency (%)
21479 1
1.1%
18976 1
1.1%
17205 1
1.1%
13766 1
1.1%
13655 1
1.1%

481
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4439.032609
Minimum0
Maximum17047
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:55.036501image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.1
Q11371
median2945.5
Q37494.5
95-th percentile11586.05
Maximum17047
Range17047
Interquartile range (IQR)6123.5

Descriptive statistics

Standard deviation4118.228739
Coefficient of variation (CV)0.9277311301
Kurtosis0.04573255854
Mean4439.032609
Median Absolute Deviation (MAD)2475
Skewness0.9343141027
Sum408391
Variance16959807.94
MonotonicityNot monotonic
2022-12-08T10:53:55.168666image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1601 1
 
1.1%
8659 1
 
1.1%
3827 1
 
1.1%
1565 1
 
1.1%
7604 1
 
1.1%
3121 1
 
1.1%
1284 1
 
1.1%
960 1
 
1.1%
1998 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
4 1
 
1.1%
21 1
 
1.1%
23 1
 
1.1%
46 1
 
1.1%
ValueCountFrequency (%)
17047 1
1.1%
15439 1
1.1%
14029 1
1.1%
11767 1
1.1%
11756 1
1.1%

482
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5041.423913
Minimum0
Maximum20868
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:55.307251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11260.75
median3529.5
Q37888.25
95-th percentile13610.35
Maximum20868
Range20868
Interquartile range (IQR)6627.5

Descriptive statistics

Standard deviation4726.616017
Coefficient of variation (CV)0.9375557578
Kurtosis0.5528468482
Mean5041.423913
Median Absolute Deviation (MAD)3224
Skewness1.03064622
Sum463811
Variance22340898.97
MonotonicityNot monotonic
2022-12-08T10:53:55.431946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2623 1
 
1.1%
1828 1
 
1.1%
4382 1
 
1.1%
1952 1
 
1.1%
8664 1
 
1.1%
5921 1
 
1.1%
1712 1
 
1.1%
1081 1
 
1.1%
2723 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
14 1
 
1.1%
55 1
 
1.1%
79 1
 
1.1%
ValueCountFrequency (%)
20868 1
1.1%
17660 1
1.1%
16105 1
1.1%
15047 1
1.1%
14261 1
1.1%

483
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5048.065217
Minimum0
Maximum20216
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:55.555125image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11184.25
median3073.5
Q38058.5
95-th percentile13936.1
Maximum20216
Range20216
Interquartile range (IQR)6874.25

Descriptive statistics

Standard deviation4971.64608
Coefficient of variation (CV)0.9848616976
Kurtosis0.1673983296
Mean5048.065217
Median Absolute Deviation (MAD)2640
Skewness1.04611664
Sum464422
Variance24717264.74
MonotonicityNot monotonic
2022-12-08T10:53:55.689273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
805 2
 
2.2%
2589 1
 
1.1%
12452 1
 
1.1%
1453 1
 
1.1%
6204 1
 
1.1%
3075 1
 
1.1%
1179 1
 
1.1%
863 1
 
1.1%
2077 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
28 1
 
1.1%
58 1
 
1.1%
105 1
 
1.1%
125 1
 
1.1%
ValueCountFrequency (%)
20216 1
1.1%
17774 1
1.1%
17010 1
1.1%
15229 1
1.1%
14848 1
1.1%

484
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5195.467391
Minimum0
Maximum20074
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:55.821332image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11527.75
median3456
Q39258
95-th percentile13393
Maximum20074
Range20074
Interquartile range (IQR)7730.25

Descriptive statistics

Standard deviation4713.463313
Coefficient of variation (CV)0.9072260411
Kurtosis-0.1321729866
Mean5195.467391
Median Absolute Deviation (MAD)2886.5
Skewness0.8649663203
Sum477983
Variance22216736.41
MonotonicityNot monotonic
2022-12-08T10:53:55.944518image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1 2
 
2.2%
2421 1
 
1.1%
7653 1
 
1.1%
2056 1
 
1.1%
4319 1
 
1.1%
2413 1
 
1.1%
10726 1
 
1.1%
4322 1
 
1.1%
1437 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 2
 
2.2%
13 1
 
1.1%
83 1
 
1.1%
142 1
 
1.1%
ValueCountFrequency (%)
20074 1
1.1%
15787 1
1.1%
14890 1
1.1%
14223 1
1.1%
14119 1
1.1%

485
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4522.76087
Minimum0
Maximum17029
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:56.082665image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.2
Q11308.25
median2903.5
Q37157.75
95-th percentile12497.3
Maximum17029
Range17029
Interquartile range (IQR)5849.5

Descriptive statistics

Standard deviation4247.407875
Coefficient of variation (CV)0.9391183831
Kurtosis0.195784198
Mean4522.76087
Median Absolute Deviation (MAD)2574.5
Skewness1.009994757
Sum416094
Variance18040473.66
MonotonicityNot monotonic
2022-12-08T10:53:56.212207image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1737 2
 
2.2%
2194 1
 
1.1%
2059 1
 
1.1%
2722 1
 
1.1%
2178 1
 
1.1%
7460 1
 
1.1%
4462 1
 
1.1%
1242 1
 
1.1%
1273 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
27 1
 
1.1%
37 1
 
1.1%
76 1
 
1.1%
ValueCountFrequency (%)
17029 1
1.1%
15845 1
1.1%
15319 1
1.1%
12850 1
1.1%
12824 1
1.1%

486
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5758.467391
Minimum0
Maximum23881
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:56.347862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q11598.25
median3659
Q39538.5
95-th percentile15591.55
Maximum23881
Range23881
Interquartile range (IQR)7940.25

Descriptive statistics

Standard deviation5491.322432
Coefficient of variation (CV)0.953608323
Kurtosis0.4982044324
Mean5758.467391
Median Absolute Deviation (MAD)3316.5
Skewness1.049577754
Sum529779
Variance30154622.05
MonotonicityNot monotonic
2022-12-08T10:53:56.481720image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
4 2
 
2.2%
2920 1
 
1.1%
1563 1
 
1.1%
3125 1
 
1.1%
2120 1
 
1.1%
11308 1
 
1.1%
5866 1
 
1.1%
2410 1
 
1.1%
1185 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
4 2
2.2%
15 1
 
1.1%
30 1
 
1.1%
49 1
 
1.1%
ValueCountFrequency (%)
23881 1
1.1%
20349 1
1.1%
19343 1
1.1%
16737 1
1.1%
15690 1
1.1%

487
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5165.608696
Minimum0
Maximum18754
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:56.606904image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11632.5
median3316.5
Q38497.75
95-th percentile13916.95
Maximum18754
Range18754
Interquartile range (IQR)6865.25

Descriptive statistics

Standard deviation4754.015247
Coefficient of variation (CV)0.9203204359
Kurtosis-0.1813918219
Mean5165.608696
Median Absolute Deviation (MAD)2881
Skewness0.8989696453
Sum475236
Variance22600660.97
MonotonicityNot monotonic
2022-12-08T10:53:56.728597image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2854 1
 
1.1%
2198 1
 
1.1%
3702 1
 
1.1%
1848 1
 
1.1%
10045 1
 
1.1%
4263 1
 
1.1%
1400 1
 
1.1%
1229 1
 
1.1%
2144 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
61 1
 
1.1%
118 1
 
1.1%
134 1
 
1.1%
ValueCountFrequency (%)
18754 1
1.1%
17251 1
1.1%
15664 1
1.1%
14874 1
1.1%
14286 1
1.1%

488
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5687.793478
Minimum0
Maximum22775
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:56.869730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.75
Q11524.5
median3427
Q39145
95-th percentile15603.95
Maximum22775
Range22775
Interquartile range (IQR)7620.5

Descriptive statistics

Standard deviation5445.818835
Coefficient of variation (CV)0.957457203
Kurtosis0.265945986
Mean5687.793478
Median Absolute Deviation (MAD)3091
Skewness1.00794667
Sum523277
Variance29656942.78
MonotonicityNot monotonic
2022-12-08T10:53:56.999892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1959 2
 
2.2%
2992 1
 
1.1%
12360 1
 
1.1%
1603 1
 
1.1%
10298 1
 
1.1%
4766 1
 
1.1%
940 1
 
1.1%
2836 1
 
1.1%
9107 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
5 1
 
1.1%
6 1
 
1.1%
18 1
 
1.1%
23 1
 
1.1%
ValueCountFrequency (%)
22775 1
1.1%
21022 1
1.1%
17279 1
1.1%
16234 1
1.1%
15863 1
1.1%

489
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4252.576087
Minimum0
Maximum14806
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:57.118730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.6
Q1893.25
median3235.5
Q36706.5
95-th percentile12260.35
Maximum14806
Range14806
Interquartile range (IQR)5813.25

Descriptive statistics

Standard deviation3966.305861
Coefficient of variation (CV)0.9326831031
Kurtosis-0.01587449658
Mean4252.576087
Median Absolute Deviation (MAD)2423
Skewness0.963931421
Sum391237
Variance15731582.18
MonotonicityNot monotonic
2022-12-08T10:53:57.257381image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2470 1
 
1.1%
8678 1
 
1.1%
2209 1
 
1.1%
779 1
 
1.1%
6885 1
 
1.1%
4376 1
 
1.1%
1469 1
 
1.1%
846 1
 
1.1%
1627 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
13 1
 
1.1%
54 1
 
1.1%
100 1
 
1.1%
ValueCountFrequency (%)
14806 1
1.1%
14241 1
1.1%
13965 1
1.1%
12920 1
1.1%
12856 1
1.1%

490
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5190.173913
Minimum0
Maximum23987
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:57.392534image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.3
Q11346.5
median3082.5
Q38140.75
95-th percentile14706.5
Maximum23987
Range23987
Interquartile range (IQR)6794.25

Descriptive statistics

Standard deviation5069.748386
Coefficient of variation (CV)0.9767974004
Kurtosis1.414227574
Mean5190.173913
Median Absolute Deviation (MAD)2859
Skewness1.239869601
Sum477496
Variance25702348.69
MonotonicityNot monotonic
2022-12-08T10:53:57.533180image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2817 1
 
1.1%
11239 1
 
1.1%
3911 1
 
1.1%
1796 1
 
1.1%
9365 1
 
1.1%
3787 1
 
1.1%
1309 1
 
1.1%
1182 1
 
1.1%
3291 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
2 1
 
1.1%
8 1
 
1.1%
11 1
 
1.1%
ValueCountFrequency (%)
23987 1
1.1%
20095 1
1.1%
16210 1
1.1%
15575 1
1.1%
14756 1
1.1%

491
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4818.565217
Minimum0
Maximum18087
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:57.679302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.4
Q11594
median3304.5
Q37532.5
95-th percentile12547.3
Maximum18087
Range18087
Interquartile range (IQR)5938.5

Descriptive statistics

Standard deviation4393.667659
Coefficient of variation (CV)0.9118207311
Kurtosis0.5292403124
Mean4818.565217
Median Absolute Deviation (MAD)2808.5
Skewness1.057310184
Sum443308
Variance19304315.5
MonotonicityNot monotonic
2022-12-08T10:53:57.822434image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2146 1
 
1.1%
2066 1
 
1.1%
4197 1
 
1.1%
2008 1
 
1.1%
7027 1
 
1.1%
3299 1
 
1.1%
1538 1
 
1.1%
1642 1
 
1.1%
3206 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
8 1
 
1.1%
9 1
 
1.1%
29 1
 
1.1%
56 1
 
1.1%
ValueCountFrequency (%)
18087 1
1.1%
17796 1
1.1%
15753 1
1.1%
14655 1
1.1%
12929 1
1.1%

492
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4910.891304
Minimum0
Maximum19315
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:57.975425image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11310
median3188.5
Q38086
95-th percentile13230.45
Maximum19315
Range19315
Interquartile range (IQR)6776

Descriptive statistics

Standard deviation4697.756784
Coefficient of variation (CV)0.9565996258
Kurtosis0.2644687868
Mean4910.891304
Median Absolute Deviation (MAD)2724.5
Skewness1.020709486
Sum451802
Variance22068918.8
MonotonicityNot monotonic
2022-12-08T10:53:58.110588image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2324 1
 
1.1%
1411 1
 
1.1%
2434 1
 
1.1%
1530 1
 
1.1%
7936 1
 
1.1%
3886 1
 
1.1%
1929 1
 
1.1%
932 1
 
1.1%
1848 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
34 1
 
1.1%
100 1
 
1.1%
147 1
 
1.1%
166 1
 
1.1%
ValueCountFrequency (%)
19315 1
1.1%
18085 1
1.1%
15671 1
1.1%
15240 1
1.1%
13418 1
1.1%

493
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5086.402174
Minimum0
Maximum21629
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:58.253235image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11648.25
median3213.5
Q38351.25
95-th percentile13766.65
Maximum21629
Range21629
Interquartile range (IQR)6703

Descriptive statistics

Standard deviation4706.07257
Coefficient of variation (CV)0.9252262029
Kurtosis0.606519506
Mean5086.402174
Median Absolute Deviation (MAD)2967.5
Skewness1.033808679
Sum467949
Variance22147119.03
MonotonicityNot monotonic
2022-12-08T10:53:58.373431image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2330 1
 
1.1%
2146 1
 
1.1%
3422 1
 
1.1%
1937 1
 
1.1%
9236 1
 
1.1%
4524 1
 
1.1%
1628 1
 
1.1%
1397 1
 
1.1%
3266 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
11 1
 
1.1%
13 1
 
1.1%
29 1
 
1.1%
121 1
 
1.1%
ValueCountFrequency (%)
21629 1
1.1%
16770 1
1.1%
14923 1
1.1%
14454 1
1.1%
14139 1
1.1%

494
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4209.902174
Minimum0
Maximum17983
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:58.493168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11331.75
median2916
Q36579.5
95-th percentile11071.45
Maximum17983
Range17983
Interquartile range (IQR)5247.75

Descriptive statistics

Standard deviation3945.59155
Coefficient of variation (CV)0.9372169203
Kurtosis0.8354669959
Mean4209.902174
Median Absolute Deviation (MAD)2506.5
Skewness1.114510919
Sum387311
Variance15567692.68
MonotonicityNot monotonic
2022-12-08T10:53:58.624334image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
3448 2
 
2.2%
1611 1
 
1.1%
1645 1
 
1.1%
2142 1
 
1.1%
3424 1
 
1.1%
1586 1
 
1.1%
7744 1
 
1.1%
1621 1
 
1.1%
889 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
53 1
 
1.1%
79 1
 
1.1%
129 1
 
1.1%
172 1
 
1.1%
ValueCountFrequency (%)
17983 1
1.1%
14462 1
1.1%
13443 1
1.1%
13022 1
1.1%
11281 1
1.1%

495
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4813.478261
Minimum0
Maximum18298
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:58.749026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q11397
median3435.5
Q38008.5
95-th percentile12720.8
Maximum18298
Range18298
Interquartile range (IQR)6611.5

Descriptive statistics

Standard deviation4529.237399
Coefficient of variation (CV)0.9409489674
Kurtosis0.1883265665
Mean4813.478261
Median Absolute Deviation (MAD)2788.5
Skewness0.9930003269
Sum442840
Variance20513991.42
MonotonicityNot monotonic
2022-12-08T10:53:58.864233image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3 2
 
2.2%
2478 1
 
1.1%
1410 1
 
1.1%
1685 1
 
1.1%
1297 1
 
1.1%
7991 1
 
1.1%
4251 1
 
1.1%
1762 1
 
1.1%
796 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
3 2
2.2%
15 1
 
1.1%
34 1
 
1.1%
82 1
 
1.1%
ValueCountFrequency (%)
18298 1
1.1%
16840 1
1.1%
16771 1
1.1%
13419 1
1.1%
12767 1
1.1%

496
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4609.826087
Minimum0
Maximum19483
Zeros7
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:59.005367image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1952.75
median3050
Q37034.5
95-th percentile13082.4
Maximum19483
Range19483
Interquartile range (IQR)6081.75

Descriptive statistics

Standard deviation4545.340275
Coefficient of variation (CV)0.9860112266
Kurtosis0.7790179376
Mean4609.826087
Median Absolute Deviation (MAD)2786.5
Skewness1.139075523
Sum424104
Variance20660118.21
MonotonicityNot monotonic
2022-12-08T10:53:59.134653image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
7.6%
3383 2
 
2.2%
2197 1
 
1.1%
1523 1
 
1.1%
2613 1
 
1.1%
3322 1
 
1.1%
1165 1
 
1.1%
6842 1
 
1.1%
3470 1
 
1.1%
934 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 7
7.6%
9 1
 
1.1%
72 1
 
1.1%
101 1
 
1.1%
116 1
 
1.1%
ValueCountFrequency (%)
19483 1
1.1%
17647 1
1.1%
16220 1
1.1%
14294 1
1.1%
13749 1
1.1%

497
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4750.456522
Minimum0
Maximum16629
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:59.268806image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53.95
Q11354.5
median2962.5
Q37924
95-th percentile14188
Maximum16629
Range16629
Interquartile range (IQR)6569.5

Descriptive statistics

Standard deviation4366.582108
Coefficient of variation (CV)0.9191921004
Kurtosis0.3546613163
Mean4750.456522
Median Absolute Deviation (MAD)2566.5
Skewness1.022447204
Sum437042
Variance19067039.31
MonotonicityNot monotonic
2022-12-08T10:53:59.396978image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
1729 1
 
1.1%
7930 1
 
1.1%
1795 1
 
1.1%
8499 1
 
1.1%
5371 1
 
1.1%
1366 1
 
1.1%
1320 1
 
1.1%
1377 1
 
1.1%
5216 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
5 1
1.1%
27 1
1.1%
76 1
1.1%
ValueCountFrequency (%)
16629 1
1.1%
16598 1
1.1%
16542 1
1.1%
14981 1
1.1%
14881 1
1.1%

498
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5766.945652
Minimum0
Maximum23719
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:59.534859image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q11634.75
median3491
Q39774.5
95-th percentile16367.35
Maximum23719
Range23719
Interquartile range (IQR)8139.75

Descriptive statistics

Standard deviation5498.734455
Coefficient of variation (CV)0.9534916377
Kurtosis0.3504411707
Mean5766.945652
Median Absolute Deviation (MAD)3226.5
Skewness1.033760828
Sum530559
Variance30236080.6
MonotonicityNot monotonic
2022-12-08T10:53:59.669016image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2915 1
 
1.1%
12556 1
 
1.1%
2575 1
 
1.1%
1677 1
 
1.1%
10796 1
 
1.1%
4403 1
 
1.1%
1446 1
 
1.1%
1131 1
 
1.1%
3394 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
4 1
 
1.1%
13 1
 
1.1%
41 1
 
1.1%
ValueCountFrequency (%)
23719 1
1.1%
19325 1
1.1%
18802 1
1.1%
17142 1
1.1%
16875 1
1.1%

499
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6341.119565
Minimum0
Maximum27005
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:53:59.804173image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11612.75
median3939.5
Q310710.25
95-th percentile18245.4
Maximum27005
Range27005
Interquartile range (IQR)9097.5

Descriptive statistics

Standard deviation6234.517541
Coefficient of variation (CV)0.9831887692
Kurtosis0.8082982229
Mean6341.119565
Median Absolute Deviation (MAD)3644.5
Skewness1.149643809
Sum583383
Variance38869208.96
MonotonicityNot monotonic
2022-12-08T10:53:59.941219image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3102 1
 
1.1%
2029 1
 
1.1%
4471 1
 
1.1%
2118 1
 
1.1%
11374 1
 
1.1%
5328 1
 
1.1%
2186 1
 
1.1%
1131 1
 
1.1%
4051 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
7 1
 
1.1%
13 1
 
1.1%
60 1
 
1.1%
ValueCountFrequency (%)
27005 1
1.1%
24474 1
1.1%
20565 1
1.1%
20525 1
1.1%
19803 1
1.1%

500
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5560.163043
Minimum0
Maximum22542
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:00.074373image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.85
Q11451.75
median3737
Q38728.75
95-th percentile15149.25
Maximum22542
Range22542
Interquartile range (IQR)7277

Descriptive statistics

Standard deviation5356.939961
Coefficient of variation (CV)0.9634501576
Kurtosis0.410572001
Mean5560.163043
Median Absolute Deviation (MAD)3232
Skewness1.04803352
Sum511535
Variance28696805.74
MonotonicityNot monotonic
2022-12-08T10:54:00.191568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
7 2
 
2.2%
2687 1
 
1.1%
8126 1
 
1.1%
3665 1
 
1.1%
3860 1
 
1.1%
1762 1
 
1.1%
10074 1
 
1.1%
6043 1
 
1.1%
1537 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
7 2
 
2.2%
22 1
 
1.1%
92 1
 
1.1%
148 1
 
1.1%
ValueCountFrequency (%)
22542 1
1.1%
21237 1
1.1%
16604 1
1.1%
15814 1
1.1%
15251 1
1.1%

501
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4606.891304
Minimum0
Maximum18218
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:00.325122image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.85
Q11458.25
median2967.5
Q37525
95-th percentile12284.8
Maximum18218
Range18218
Interquartile range (IQR)6066.75

Descriptive statistics

Standard deviation4314.38827
Coefficient of variation (CV)0.9365075025
Kurtosis0.1999046846
Mean4606.891304
Median Absolute Deviation (MAD)2643.5
Skewness0.9885787774
Sum423834
Variance18613946.14
MonotonicityNot monotonic
2022-12-08T10:54:00.448831image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2592 1
 
1.1%
10715 1
 
1.1%
1726 1
 
1.1%
8412 1
 
1.1%
3727 1
 
1.1%
1617 1
 
1.1%
1084 1
 
1.1%
3375 1
 
1.1%
7471 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
11 1
1.1%
12 1
1.1%
15 1
1.1%
22 1
1.1%
ValueCountFrequency (%)
18218 1
1.1%
15876 1
1.1%
13883 1
1.1%
13853 1
1.1%
12628 1
1.1%

502
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5335.304348
Minimum0
Maximum19845
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:00.580999image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.3
Q11806.5
median3535
Q38208.25
95-th percentile14166.5
Maximum19845
Range19845
Interquartile range (IQR)6401.75

Descriptive statistics

Standard deviation4766.208078
Coefficient of variation (CV)0.8933338695
Kurtosis0.08719063033
Mean5335.304348
Median Absolute Deviation (MAD)3206.5
Skewness0.9365645899
Sum490848
Variance22716739.44
MonotonicityNot monotonic
2022-12-08T10:54:00.717153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2699 1
 
1.1%
11083 1
 
1.1%
3475 1
 
1.1%
1886 1
 
1.1%
9576 1
 
1.1%
4129 1
 
1.1%
1568 1
 
1.1%
1367 1
 
1.1%
3052 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
6 1
 
1.1%
32 1
 
1.1%
63 1
 
1.1%
133 1
 
1.1%
ValueCountFrequency (%)
19845 1
1.1%
17199 1
1.1%
16205 1
1.1%
15812 1
1.1%
14557 1
1.1%

503
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6088.98913
Minimum0
Maximum21465
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:00.859803image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q12080.75
median4223
Q310056.75
95-th percentile15800.8
Maximum21465
Range21465
Interquartile range (IQR)7976

Descriptive statistics

Standard deviation5537.323239
Coefficient of variation (CV)0.909399429
Kurtosis-0.02896220443
Mean6088.98913
Median Absolute Deviation (MAD)3560
Skewness0.9291781548
Sum560187
Variance30661948.65
MonotonicityNot monotonic
2022-12-08T10:54:00.978005image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 3
 
3.3%
3 2
 
2.2%
2708 1
 
1.1%
2551 1
 
1.1%
4507 1
 
1.1%
2137 1
 
1.1%
11715 1
 
1.1%
4946 1
 
1.1%
1887 1
 
1.1%
1653 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 1
 
1.1%
2 3
3.3%
3 2
2.2%
13 1
 
1.1%
24 1
 
1.1%
ValueCountFrequency (%)
21465 1
1.1%
21255 1
1.1%
19634 1
1.1%
16654 1
1.1%
15979 1
1.1%

504
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4998.021739
Minimum0
Maximum19509
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:01.098203image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11386.75
median3235.5
Q38062.25
95-th percentile12480.45
Maximum19509
Range19509
Interquartile range (IQR)6675.5

Descriptive statistics

Standard deviation4753.874632
Coefficient of variation (CV)0.9511512516
Kurtosis0.3912913011
Mean4998.021739
Median Absolute Deviation (MAD)2946.5
Skewness1.032779554
Sum459818
Variance22599324.02
MonotonicityNot monotonic
2022-12-08T10:54:01.238460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2809 1
 
1.1%
1353 1
 
1.1%
2198 1
 
1.1%
1664 1
 
1.1%
8524 1
 
1.1%
4358 1
 
1.1%
1438 1
 
1.1%
960 1
 
1.1%
1954 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
37 1
 
1.1%
53 1
 
1.1%
77 1
 
1.1%
ValueCountFrequency (%)
19509 1
1.1%
18583 1
1.1%
17619 1
1.1%
14323 1
1.1%
12602 1
1.1%

505
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4805.206522
Minimum0
Maximum20886
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:01.384578image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.3
Q11210
median2689.5
Q38294.25
95-th percentile13563.2
Maximum20886
Range20886
Interquartile range (IQR)7084.25

Descriptive statistics

Standard deviation4794.959867
Coefficient of variation (CV)0.9978675932
Kurtosis0.8629359145
Mean4805.206522
Median Absolute Deviation (MAD)2510.5
Skewness1.168728041
Sum442079
Variance22991640.12
MonotonicityNot monotonic
2022-12-08T10:54:01.500777image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1397 2
 
2.2%
2095 1
 
1.1%
9960 1
 
1.1%
1422 1
 
1.1%
8742 1
 
1.1%
3850 1
 
1.1%
1697 1
 
1.1%
779 1
 
1.1%
2461 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
6 1
 
1.1%
12 1
 
1.1%
14 1
 
1.1%
16 1
 
1.1%
ValueCountFrequency (%)
20886 1
1.1%
18355 1
1.1%
17734 1
1.1%
14021 1
1.1%
13748 1
1.1%

506
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5080.152174
Minimum0
Maximum20879
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:01.626949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11561.5
median3218
Q38393.5
95-th percentile13510.65
Maximum20879
Range20879
Interquartile range (IQR)6832

Descriptive statistics

Standard deviation4852.140642
Coefficient of variation (CV)0.9551171847
Kurtosis0.3420813382
Mean5080.152174
Median Absolute Deviation (MAD)2749.5
Skewness1.052140552
Sum467374
Variance23543268.81
MonotonicityNot monotonic
2022-12-08T10:54:01.741657image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2713 1
 
1.1%
12036 1
 
1.1%
3912 1
 
1.1%
1854 1
 
1.1%
8666 1
 
1.1%
3192 1
 
1.1%
1849 1
 
1.1%
1007 1
 
1.1%
2778 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
5 1
 
1.1%
9 1
 
1.1%
ValueCountFrequency (%)
20879 1
1.1%
18132 1
1.1%
15916 1
1.1%
13980 1
1.1%
13685 1
1.1%

507
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5213.25
Minimum0
Maximum20703
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:01.888774image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11410
median3829.5
Q38318.5
95-th percentile13135.6
Maximum20703
Range20703
Interquartile range (IQR)6908.5

Descriptive statistics

Standard deviation4742.467855
Coefficient of variation (CV)0.909695076
Kurtosis0.3392280206
Mean5213.25
Median Absolute Deviation (MAD)3281.5
Skewness0.9663133488
Sum479619
Variance22491001.35
MonotonicityNot monotonic
2022-12-08T10:54:02.020935image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
4625 2
 
2.2%
11824 1
 
1.1%
1801 1
 
1.1%
9355 1
 
1.1%
4562 1
 
1.1%
1854 1
 
1.1%
1241 1
 
1.1%
2864 1
 
1.1%
6676 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
23 1
 
1.1%
58 1
 
1.1%
98 1
 
1.1%
ValueCountFrequency (%)
20703 1
1.1%
17058 1
1.1%
16338 1
1.1%
16086 1
1.1%
13305 1
1.1%

508
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5239.869565
Minimum0
Maximum21082
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:02.173549image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11751.75
median3448
Q38240.75
95-th percentile14511.45
Maximum21082
Range21082
Interquartile range (IQR)6489

Descriptive statistics

Standard deviation4929.720221
Coefficient of variation (CV)0.9408097204
Kurtosis0.8041680912
Mean5239.869565
Median Absolute Deviation (MAD)3027.5
Skewness1.135401863
Sum482068
Variance24302141.46
MonotonicityNot monotonic
2022-12-08T10:54:02.321395image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2619 1
 
1.1%
2463 1
 
1.1%
3328 1
 
1.1%
2184 1
 
1.1%
9321 1
 
1.1%
5457 1
 
1.1%
1488 1
 
1.1%
1498 1
 
1.1%
3531 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
28 1
 
1.1%
73 1
 
1.1%
126 1
 
1.1%
ValueCountFrequency (%)
21082 1
1.1%
19459 1
1.1%
18404 1
1.1%
15308 1
1.1%
14534 1
1.1%

509
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5989.217391
Minimum0
Maximum22976
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:02.441089image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.75
Q11476.75
median4119.5
Q39167
95-th percentile16963.5
Maximum22976
Range22976
Interquartile range (IQR)7690.25

Descriptive statistics

Standard deviation5717.36536
Coefficient of variation (CV)0.9546097572
Kurtosis0.8420132196
Mean5989.217391
Median Absolute Deviation (MAD)3544.5
Skewness1.158736052
Sum551008
Variance32688266.66
MonotonicityNot monotonic
2022-12-08T10:54:02.567085image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2429 1
 
1.1%
12182 1
 
1.1%
4105 1
 
1.1%
2093 1
 
1.1%
10309 1
 
1.1%
5109 1
 
1.1%
2360 1
 
1.1%
1293 1
 
1.1%
2617 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
11 1
 
1.1%
36 1
 
1.1%
64 1
 
1.1%
ValueCountFrequency (%)
22976 1
1.1%
22902 1
1.1%
22791 1
1.1%
17720 1
1.1%
17574 1
1.1%

510
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5809.336957
Minimum0
Maximum23683
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:02.691259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.55
Q11537.75
median3722
Q39550.5
95-th percentile15453
Maximum23683
Range23683
Interquartile range (IQR)8012.75

Descriptive statistics

Standard deviation5568.496459
Coefficient of variation (CV)0.9585425155
Kurtosis0.8247623203
Mean5809.336957
Median Absolute Deviation (MAD)3106.5
Skewness1.157633089
Sum534459
Variance31008152.82
MonotonicityNot monotonic
2022-12-08T10:54:02.821419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3321 1
 
1.1%
11388 1
 
1.1%
4357 1
 
1.1%
1617 1
 
1.1%
10502 1
 
1.1%
3938 1
 
1.1%
1968 1
 
1.1%
1117 1
 
1.1%
2697 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
3 1
 
1.1%
35 1
 
1.1%
59 1
 
1.1%
ValueCountFrequency (%)
23683 1
1.1%
21781 1
1.1%
20506 1
1.1%
19202 1
1.1%
15508 1
1.1%

511
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4595.771739
Minimum0
Maximum19499
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:02.974656image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile61.9
Q1958.5
median2990
Q37334.75
95-th percentile12866.3
Maximum19499
Range19499
Interquartile range (IQR)6376.25

Descriptive statistics

Standard deviation4408.519794
Coefficient of variation (CV)0.9592556036
Kurtosis0.8981434633
Mean4595.771739
Median Absolute Deviation (MAD)2517
Skewness1.142870986
Sum422811
Variance19435046.77
MonotonicityNot monotonic
2022-12-08T10:54:03.102826image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2148 1
 
1.1%
10568 1
 
1.1%
1113 1
 
1.1%
6110 1
 
1.1%
4944 1
 
1.1%
1675 1
 
1.1%
960 1
 
1.1%
1831 1
 
1.1%
5352 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
2 1
1.1%
3 1
1.1%
30 1
1.1%
88 1
1.1%
ValueCountFrequency (%)
19499 1
1.1%
17843 1
1.1%
13795 1
1.1%
13758 1
1.1%
13116 1
1.1%

512
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5032.663043
Minimum0
Maximum18713
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:03.238484image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.65
Q11636.5
median3375
Q38226.25
95-th percentile13101.1
Maximum18713
Range18713
Interquartile range (IQR)6589.75

Descriptive statistics

Standard deviation4752.878689
Coefficient of variation (CV)0.9444063009
Kurtosis-0.01248816276
Mean5032.663043
Median Absolute Deviation (MAD)2834.5
Skewness0.9683468034
Sum463005
Variance22589855.83
MonotonicityNot monotonic
2022-12-08T10:54:03.356684image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
4267 2
 
2.2%
2352 1
 
1.1%
10736 1
 
1.1%
1838 1
 
1.1%
8899 1
 
1.1%
4561 1
 
1.1%
1946 1
 
1.1%
1113 1
 
1.1%
4026 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
10 1
 
1.1%
33 1
 
1.1%
57 1
 
1.1%
58 1
 
1.1%
ValueCountFrequency (%)
18713 1
1.1%
17268 1
1.1%
16313 1
1.1%
15446 1
1.1%
13496 1
1.1%

513
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4866.173913
Minimum0
Maximum19000
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:03.494824image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11519.5
median3134.5
Q37876.75
95-th percentile13028.4
Maximum19000
Range19000
Interquartile range (IQR)6357.25

Descriptive statistics

Standard deviation4694.349382
Coefficient of variation (CV)0.9646900144
Kurtosis0.5276394608
Mean4866.173913
Median Absolute Deviation (MAD)2699.5
Skewness1.106485858
Sum447688
Variance22036916.12
MonotonicityNot monotonic
2022-12-08T10:54:03.637467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2449 1
 
1.1%
1730 1
 
1.1%
3124 1
 
1.1%
1534 1
 
1.1%
7912 1
 
1.1%
4393 1
 
1.1%
1641 1
 
1.1%
888 1
 
1.1%
2827 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
33 1
 
1.1%
48 1
 
1.1%
138 1
 
1.1%
ValueCountFrequency (%)
19000 1
1.1%
18125 1
1.1%
17752 1
1.1%
14698 1
1.1%
13178 1
1.1%

514
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5092.48913
Minimum0
Maximum20566
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:03.764641image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.25
Q11460.75
median3352.5
Q38957
95-th percentile13893.95
Maximum20566
Range20566
Interquartile range (IQR)7496.25

Descriptive statistics

Standard deviation4812.134361
Coefficient of variation (CV)0.9449473996
Kurtosis0.6694821504
Mean5092.48913
Median Absolute Deviation (MAD)2775.5
Skewness1.101094959
Sum468509
Variance23156637.11
MonotonicityNot monotonic
2022-12-08T10:54:03.887822image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2536 1
 
1.1%
1397 1
 
1.1%
2399 1
 
1.1%
2146 1
 
1.1%
9143 1
 
1.1%
4785 1
 
1.1%
1830 1
 
1.1%
1071 1
 
1.1%
2996 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
3 1
 
1.1%
58 1
 
1.1%
103 1
 
1.1%
ValueCountFrequency (%)
20566 1
1.1%
18743 1
1.1%
18201 1
1.1%
14019 1
1.1%
13922 1
1.1%

515
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5511.804348
Minimum0
Maximum20750
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:04.012653image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.35
Q11707.75
median3405.5
Q39103.5
95-th percentile15786.1
Maximum20750
Range20750
Interquartile range (IQR)7395.75

Descriptive statistics

Standard deviation5258.240269
Coefficient of variation (CV)0.9539961758
Kurtosis0.1755714551
Mean5511.804348
Median Absolute Deviation (MAD)3017
Skewness1.018739213
Sum507086
Variance27649090.73
MonotonicityNot monotonic
2022-12-08T10:54:04.142327image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
88 2
 
2.2%
2917 1
 
1.1%
11014 1
 
1.1%
1863 1
 
1.1%
8389 1
 
1.1%
4598 1
 
1.1%
1726 1
 
1.1%
877 1
 
1.1%
2347 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
19 1
 
1.1%
88 2
2.2%
132 1
 
1.1%
ValueCountFrequency (%)
20750 1
1.1%
19483 1
1.1%
18486 1
1.1%
16967 1
1.1%
16720 1
1.1%

516
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4918.826087
Minimum0
Maximum20174
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:04.271949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.05
Q1743
median3536
Q37832.25
95-th percentile13405.25
Maximum20174
Range20174
Interquartile range (IQR)7089.25

Descriptive statistics

Standard deviation4866.258083
Coefficient of variation (CV)0.9893128963
Kurtosis0.7874935281
Mean4918.826087
Median Absolute Deviation (MAD)3056.5
Skewness1.130981732
Sum452532
Variance23680467.73
MonotonicityNot monotonic
2022-12-08T10:54:04.400192image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1791 1
 
1.1%
8287 1
 
1.1%
2212 1
 
1.1%
910 1
 
1.1%
7429 1
 
1.1%
5427 1
 
1.1%
1614 1
 
1.1%
451 1
 
1.1%
670 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
15 1
 
1.1%
54 1
 
1.1%
68 1
 
1.1%
ValueCountFrequency (%)
20174 1
1.1%
18687 1
1.1%
18352 1
1.1%
16532 1
1.1%
13573 1
1.1%

517
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5623.48913
Minimum0
Maximum21927
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:04.535348image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q11817.5
median3436.5
Q38586.5
95-th percentile15750.15
Maximum21927
Range21927
Interquartile range (IQR)6769

Descriptive statistics

Standard deviation5288.999774
Coefficient of variation (CV)0.940519249
Kurtosis0.287226932
Mean5623.48913
Median Absolute Deviation (MAD)3036
Skewness1.047265156
Sum517361
Variance27973518.6
MonotonicityNot monotonic
2022-12-08T10:54:04.664793image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2 2
 
2.2%
2651 1
 
1.1%
1968 1
 
1.1%
4528 1
 
1.1%
1283 1
 
1.1%
9493 1
 
1.1%
5197 1
 
1.1%
2198 1
 
1.1%
1012 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
2 2
2.2%
11 1
 
1.1%
44 1
 
1.1%
65 1
 
1.1%
ValueCountFrequency (%)
21927 1
1.1%
19890 1
1.1%
17236 1
1.1%
16040 1
1.1%
15952 1
1.1%

518
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4750.043478
Minimum0
Maximum18018
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:04.799949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11352.25
median3180
Q37591.25
95-th percentile14232.05
Maximum18018
Range18018
Interquartile range (IQR)6239

Descriptive statistics

Standard deviation4446.650378
Coefficient of variation (CV)0.9361283529
Kurtosis0.4334305433
Mean4750.043478
Median Absolute Deviation (MAD)2677
Skewness1.061320262
Sum437004
Variance19772699.58
MonotonicityNot monotonic
2022-12-08T10:54:04.939942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2044 1
 
1.1%
1250 1
 
1.1%
2832 1
 
1.1%
1440 1
 
1.1%
7389 1
 
1.1%
4849 1
 
1.1%
1706 1
 
1.1%
758 1
 
1.1%
1618 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
64 1
 
1.1%
70 1
 
1.1%
109 1
 
1.1%
200 1
 
1.1%
ValueCountFrequency (%)
18018 1
1.1%
17552 1
1.1%
14616 1
1.1%
14525 1
1.1%
14270 1
1.1%

519
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4183.728261
Minimum0
Maximum14663
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:05.082076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11242
median2538
Q36954.75
95-th percentile11362.45
Maximum14663
Range14663
Interquartile range (IQR)5712.75

Descriptive statistics

Standard deviation3908.91969
Coefficient of variation (CV)0.9343149092
Kurtosis-0.1803238036
Mean4183.728261
Median Absolute Deviation (MAD)2288
Skewness0.8946808181
Sum384903
Variance15279653.15
MonotonicityNot monotonic
2022-12-08T10:54:05.202854image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1525 1
 
1.1%
8202 1
 
1.1%
2725 1
 
1.1%
1276 1
 
1.1%
6409 1
 
1.1%
4593 1
 
1.1%
1386 1
 
1.1%
875 1
 
1.1%
2586 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
4 1
 
1.1%
14 1
 
1.1%
ValueCountFrequency (%)
14663 1
1.1%
14654 1
1.1%
13675 1
1.1%
11770 1
1.1%
11704 1
1.1%

520
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4978.815217
Minimum0
Maximum18402
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:05.379336image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.65
Q11511.75
median3301
Q38120.5
95-th percentile13710.5
Maximum18402
Range18402
Interquartile range (IQR)6608.75

Descriptive statistics

Standard deviation4694.910503
Coefficient of variation (CV)0.9429774552
Kurtosis0.1319097735
Mean4978.815217
Median Absolute Deviation (MAD)2626.5
Skewness1.006290075
Sum458051
Variance22042184.64
MonotonicityNot monotonic
2022-12-08T10:54:05.551892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2211 1
 
1.1%
9851 1
 
1.1%
1765 1
 
1.1%
9106 1
 
1.1%
5840 1
 
1.1%
2224 1
 
1.1%
944 1
 
1.1%
2588 1
 
1.1%
7123 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
3 1
1.1%
5 1
1.1%
8 1
1.1%
ValueCountFrequency (%)
18402 1
1.1%
18076 1
1.1%
15775 1
1.1%
14690 1
1.1%
13892 1
1.1%

521
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5112.695652
Minimum0
Maximum18644
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:05.730253image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11635.25
median3319.5
Q38321.5
95-th percentile14125.7
Maximum18644
Range18644
Interquartile range (IQR)6686.25

Descriptive statistics

Standard deviation4763.854732
Coefficient of variation (CV)0.9317696683
Kurtosis0.081067498
Mean5112.695652
Median Absolute Deviation (MAD)2943
Skewness0.9792008582
Sum470368
Variance22694311.91
MonotonicityNot monotonic
2022-12-08T10:54:05.905816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1687 1
 
1.1%
2150 1
 
1.1%
3479 1
 
1.1%
1774 1
 
1.1%
9430 1
 
1.1%
4627 1
 
1.1%
1570 1
 
1.1%
1290 1
 
1.1%
3173 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
4 1
 
1.1%
9 1
 
1.1%
43 1
 
1.1%
130 1
 
1.1%
ValueCountFrequency (%)
18644 1
1.1%
18255 1
1.1%
15994 1
1.1%
14855 1
1.1%
14195 1
1.1%

522
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4873.206522
Minimum0
Maximum19732
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:06.079391image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.2
Q11369
median3449
Q38126.5
95-th percentile13010.9
Maximum19732
Range19732
Interquartile range (IQR)6757.5

Descriptive statistics

Standard deviation4620.02044
Coefficient of variation (CV)0.9480452798
Kurtosis0.3929920965
Mean4873.206522
Median Absolute Deviation (MAD)2841
Skewness1.036331532
Sum448335
Variance21344588.87
MonotonicityNot monotonic
2022-12-08T10:54:06.233520image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
10159 1
 
1.1%
3544 1
 
1.1%
1748 1
 
1.1%
8149 1
 
1.1%
3917 1
 
1.1%
1686 1
 
1.1%
1032 1
 
1.1%
4282 1
 
1.1%
8523 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
7 1
 
1.1%
8 1
 
1.1%
12 1
 
1.1%
29 1
 
1.1%
ValueCountFrequency (%)
19732 1
1.1%
16575 1
1.1%
16466 1
1.1%
14667 1
1.1%
13122 1
1.1%

523
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4741.967391
Minimum0
Maximum16985
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:06.392124image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.05
Q11353.25
median3277.5
Q37387.5
95-th percentile13814.9
Maximum16985
Range16985
Interquartile range (IQR)6034.25

Descriptive statistics

Standard deviation4379.132699
Coefficient of variation (CV)0.9234843553
Kurtosis0.3672397784
Mean4741.967391
Median Absolute Deviation (MAD)2583.5
Skewness1.061100408
Sum436261
Variance19176803.2
MonotonicityNot monotonic
2022-12-08T10:54:06.530272image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2305 1
 
1.1%
1595 1
 
1.1%
4077 1
 
1.1%
1364 1
 
1.1%
7753 1
 
1.1%
3936 1
 
1.1%
1330 1
 
1.1%
1045 1
 
1.1%
2027 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
11 1
 
1.1%
21 1
 
1.1%
56 1
 
1.1%
147 1
 
1.1%
ValueCountFrequency (%)
16985 1
1.1%
16072 1
1.1%
15794 1
1.1%
15535 1
1.1%
14938 1
1.1%

524
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4056.98913
Minimum0
Maximum16509
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:06.664943image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.6
Q11191.75
median2626
Q36688
95-th percentile10122.25
Maximum16509
Range16509
Interquartile range (IQR)5496.25

Descriptive statistics

Standard deviation3749.392418
Coefficient of variation (CV)0.9241810361
Kurtosis0.3171295121
Mean4056.98913
Median Absolute Deviation (MAD)2270.5
Skewness0.9842762524
Sum373243
Variance14057943.51
MonotonicityNot monotonic
2022-12-08T10:54:06.785929image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1907 1
 
1.1%
7372 1
 
1.1%
2415 1
 
1.1%
1195 1
 
1.1%
7069 1
 
1.1%
2243 1
 
1.1%
1182 1
 
1.1%
767 1
 
1.1%
1768 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
17 1
 
1.1%
29 1
 
1.1%
35 1
 
1.1%
ValueCountFrequency (%)
16509 1
1.1%
13307 1
1.1%
12831 1
1.1%
11956 1
1.1%
10719 1
1.1%

525
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4186.51087
Minimum0
Maximum15899
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:06.919088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.1
Q1907.75
median2750
Q37083.25
95-th percentile11978.5
Maximum15899
Range15899
Interquartile range (IQR)6175.5

Descriptive statistics

Standard deviation4037.674155
Coefficient of variation (CV)0.9644485064
Kurtosis0.2142745351
Mean4186.51087
Median Absolute Deviation (MAD)2399.5
Skewness1.023578685
Sum385159
Variance16302812.58
MonotonicityNot monotonic
2022-12-08T10:54:07.070748image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1804 1
 
1.1%
9525 1
 
1.1%
2070 1
 
1.1%
925 1
 
1.1%
6684 1
 
1.1%
3160 1
 
1.1%
1683 1
 
1.1%
610 1
 
1.1%
1422 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
8 1
 
1.1%
30 1
 
1.1%
36 1
 
1.1%
40 1
 
1.1%
ValueCountFrequency (%)
15899 1
1.1%
15418 1
1.1%
13957 1
1.1%
13145 1
1.1%
11995 1
1.1%

526
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4544.467391
Minimum0
Maximum17297
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:07.224854image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11334
median3090
Q37641.75
95-th percentile11639.05
Maximum17297
Range17297
Interquartile range (IQR)6307.75

Descriptive statistics

Standard deviation4157.627529
Coefficient of variation (CV)0.9148767437
Kurtosis-0.1726437078
Mean4544.467391
Median Absolute Deviation (MAD)2818.5
Skewness0.8541175689
Sum418091
Variance17285866.67
MonotonicityNot monotonic
2022-12-08T10:54:07.365515image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1971 1
 
1.1%
1852 1
 
1.1%
4062 1
 
1.1%
1574 1
 
1.1%
9629 1
 
1.1%
3352 1
 
1.1%
1468 1
 
1.1%
959 1
 
1.1%
2989 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
10 1
 
1.1%
67 1
 
1.1%
108 1
 
1.1%
ValueCountFrequency (%)
17297 1
1.1%
14574 1
1.1%
13475 1
1.1%
12461 1
1.1%
12040 1
1.1%

527
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4803.206522
Minimum0
Maximum19495
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:07.517168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11083.25
median3066.5
Q38047.75
95-th percentile13048.85
Maximum19495
Range19495
Interquartile range (IQR)6964.5

Descriptive statistics

Standard deviation4615.247114
Coefficient of variation (CV)0.9608679313
Kurtosis0.1696322915
Mean4803.206522
Median Absolute Deviation (MAD)2658
Skewness1.004129222
Sum441895
Variance21300505.92
MonotonicityNot monotonic
2022-12-08T10:54:07.686738image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2291 1
 
1.1%
10793 1
 
1.1%
3124 1
 
1.1%
1395 1
 
1.1%
7972 1
 
1.1%
2956 1
 
1.1%
1475 1
 
1.1%
757 1
 
1.1%
2753 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
63 1
 
1.1%
148 1
 
1.1%
ValueCountFrequency (%)
19495 1
1.1%
16169 1
1.1%
14872 1
1.1%
14799 1
1.1%
13067 1
1.1%

528
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4875.086957
Minimum0
Maximum18072
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:07.876253image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.75
Q11446.75
median3350
Q37659.25
95-th percentile13321.7
Maximum18072
Range18072
Interquartile range (IQR)6212.5

Descriptive statistics

Standard deviation4437.18708
Coefficient of variation (CV)0.9101759864
Kurtosis-0.1505606921
Mean4875.086957
Median Absolute Deviation (MAD)2856
Skewness0.893000205
Sum448508
Variance19688629.18
MonotonicityNot monotonic
2022-12-08T10:54:08.009409image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
936 2
 
2.2%
2106 1
 
1.1%
11007 1
 
1.1%
2101 1
 
1.1%
9669 1
 
1.1%
3399 1
 
1.1%
1524 1
 
1.1%
1133 1
 
1.1%
2696 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
1 1
 
1.1%
4 1
 
1.1%
9 1
 
1.1%
40 1
 
1.1%
ValueCountFrequency (%)
18072 1
1.1%
15196 1
1.1%
14341 1
1.1%
13590 1
1.1%
13545 1
1.1%

529
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5184.108696
Minimum0
Maximum20830
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:08.160776image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.25
Q11565
median3219.5
Q38078.25
95-th percentile13043.85
Maximum20830
Range20830
Interquartile range (IQR)6513.25

Descriptive statistics

Standard deviation4966.761212
Coefficient of variation (CV)0.9580742811
Kurtosis0.3840065838
Mean5184.108696
Median Absolute Deviation (MAD)2781
Skewness1.044896518
Sum476938
Variance24668716.93
MonotonicityNot monotonic
2022-12-08T10:54:08.293939image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3516 2
 
2.2%
2162 1
 
1.1%
12325 1
 
1.1%
1914 1
 
1.1%
9756 1
 
1.1%
1582 1
 
1.1%
1053 1
 
1.1%
1636 1
 
1.1%
8169 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
39 1
 
1.1%
41 1
 
1.1%
154 1
 
1.1%
ValueCountFrequency (%)
20830 1
1.1%
19568 1
1.1%
16747 1
1.1%
15157 1
1.1%
13128 1
1.1%

530
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5385.141304
Minimum0
Maximum22633
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:08.431100image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11773.25
median3322.5
Q38387.5
95-th percentile14578.6
Maximum22633
Range22633
Interquartile range (IQR)6614.25

Descriptive statistics

Standard deviation5163.090972
Coefficient of variation (CV)0.9587661085
Kurtosis0.7353311047
Mean5385.141304
Median Absolute Deviation (MAD)2938.5
Skewness1.125846352
Sum495433
Variance26657508.39
MonotonicityNot monotonic
2022-12-08T10:54:08.567764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2456 2
 
2.2%
1295 1
 
1.1%
3248 1
 
1.1%
2245 1
 
1.1%
9811 1
 
1.1%
4840 1
 
1.1%
1984 1
 
1.1%
1253 1
 
1.1%
1930 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
1 1
 
1.1%
21 1
 
1.1%
42 1
 
1.1%
204 1
 
1.1%
ValueCountFrequency (%)
22633 1
1.1%
20567 1
1.1%
16232 1
1.1%
16229 1
1.1%
14671 1
1.1%

531
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4425.554348
Minimum0
Maximum15932
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:08.703927image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11283.25
median2892
Q36729.25
95-th percentile12087.45
Maximum15932
Range15932
Interquartile range (IQR)5446

Descriptive statistics

Standard deviation4200.010901
Coefficient of variation (CV)0.9490361141
Kurtosis0.01835838757
Mean4425.554348
Median Absolute Deviation (MAD)2354.5
Skewness1.00531292
Sum407151
Variance17640091.57
MonotonicityNot monotonic
2022-12-08T10:54:08.839635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2465 1
 
1.1%
1272 1
 
1.1%
2415 1
 
1.1%
1318 1
 
1.1%
5849 1
 
1.1%
3608 1
 
1.1%
1287 1
 
1.1%
915 1
 
1.1%
2275 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
8 1
 
1.1%
10 1
 
1.1%
33 1
 
1.1%
ValueCountFrequency (%)
15932 1
1.1%
15072 1
1.1%
14783 1
1.1%
14062 1
1.1%
12627 1
1.1%

532
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4960.869565
Minimum0
Maximum18923
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:08.994240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q11393
median2828.5
Q38270.25
95-th percentile13294.4
Maximum18923
Range18923
Interquartile range (IQR)6877.25

Descriptive statistics

Standard deviation4779.609095
Coefficient of variation (CV)0.9634619561
Kurtosis0.08411072043
Mean4960.869565
Median Absolute Deviation (MAD)2562
Skewness0.9964664121
Sum456400
Variance22844663.1
MonotonicityNot monotonic
2022-12-08T10:54:09.149898image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2731 2
 
2.2%
3 2
 
2.2%
130 2
 
2.2%
2820 1
 
1.1%
2798 1
 
1.1%
2593 1
 
1.1%
2909 1
 
1.1%
1412 1
 
1.1%
8454 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 4
4.3%
3 2
2.2%
18 1
 
1.1%
34 1
 
1.1%
56 1
 
1.1%
ValueCountFrequency (%)
18923 1
1.1%
17675 1
1.1%
17375 1
1.1%
13626 1
1.1%
13587 1
1.1%

533
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5552.304348
Minimum0
Maximum21639
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:12.406236image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.05
Q11355
median3477
Q39219.5
95-th percentile15259.45
Maximum21639
Range21639
Interquartile range (IQR)7864.5

Descriptive statistics

Standard deviation5257.402536
Coefficient of variation (CV)0.9468865909
Kurtosis0.1472181597
Mean5552.304348
Median Absolute Deviation (MAD)3178
Skewness0.9733741671
Sum510812
Variance27640281.42
MonotonicityNot monotonic
2022-12-08T10:54:12.553355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2450 1
 
1.1%
2414 1
 
1.1%
5017 1
 
1.1%
1599 1
 
1.1%
10210 1
 
1.1%
4258 1
 
1.1%
1929 1
 
1.1%
1328 1
 
1.1%
2631 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
11 1
 
1.1%
13 1
 
1.1%
15 1
 
1.1%
20 1
 
1.1%
ValueCountFrequency (%)
21639 1
1.1%
19742 1
1.1%
17160 1
1.1%
16715 1
1.1%
15458 1
1.1%

534
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4488.597826
Minimum0
Maximum16674
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:12.716723image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11342
median2818
Q37144.25
95-th percentile11846.65
Maximum16674
Range16674
Interquartile range (IQR)5802.25

Descriptive statistics

Standard deviation4227.715573
Coefficient of variation (CV)0.9418788978
Kurtosis0.2122103179
Mean4488.597826
Median Absolute Deviation (MAD)2523
Skewness1.015260451
Sum412951
Variance17873578.97
MonotonicityNot monotonic
2022-12-08T10:54:12.868345image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2158 1
 
1.1%
1630 1
 
1.1%
2758 1
 
1.1%
1585 1
 
1.1%
7949 1
 
1.1%
4314 1
 
1.1%
1256 1
 
1.1%
1070 1
 
1.1%
2282 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
19 1
 
1.1%
53 1
 
1.1%
108 1
 
1.1%
ValueCountFrequency (%)
16674 1
1.1%
16003 1
1.1%
15855 1
1.1%
12465 1
1.1%
12186 1
1.1%

535
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4281.5
Minimum0
Maximum18333
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:13.013470image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.2
Q11241.25
median2798
Q36569.75
95-th percentile11177.95
Maximum18333
Range18333
Interquartile range (IQR)5328.5

Descriptive statistics

Standard deviation4196.429263
Coefficient of variation (CV)0.9801306232
Kurtosis1.274723333
Mean4281.5
Median Absolute Deviation (MAD)2419
Skewness1.257708391
Sum393898
Variance17610018.56
MonotonicityNot monotonic
2022-12-08T10:54:13.158726image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2 2
 
2.2%
2425 2
 
2.2%
1822 1
 
1.1%
9823 1
 
1.1%
1435 1
 
1.1%
6964 1
 
1.1%
2881 1
 
1.1%
1029 1
 
1.1%
1030 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 3
3.3%
2 2
2.2%
26 1
 
1.1%
32 1
 
1.1%
37 1
 
1.1%
ValueCountFrequency (%)
18333 1
1.1%
17472 1
1.1%
15698 1
1.1%
13370 1
1.1%
11525 1
1.1%

536
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4978.369565
Minimum0
Maximum19712
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:13.341747image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.15
Q11572.75
median3259
Q37813.75
95-th percentile13394.95
Maximum19712
Range19712
Interquartile range (IQR)6241

Descriptive statistics

Standard deviation4707.169875
Coefficient of variation (CV)0.9455243958
Kurtosis0.6240915922
Mean4978.369565
Median Absolute Deviation (MAD)2597
Skewness1.134117153
Sum458010
Variance22157448.24
MonotonicityNot monotonic
2022-12-08T10:54:13.498941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178 2
 
2.2%
0 2
 
2.2%
3 2
 
2.2%
2415 1
 
1.1%
2854 1
 
1.1%
2817 1
 
1.1%
1900 1
 
1.1%
10212 1
 
1.1%
3257 1
 
1.1%
1566 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
3 2
2.2%
36 1
1.1%
64 1
1.1%
ValueCountFrequency (%)
19712 1
1.1%
18497 1
1.1%
17572 1
1.1%
13987 1
1.1%
13973 1
1.1%

537
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4572.304348
Minimum0
Maximum19969
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:13.659563image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.35
Q11408.25
median3414.5
Q37225.25
95-th percentile12052.1
Maximum19969
Range19969
Interquartile range (IQR)5817

Descriptive statistics

Standard deviation4073.823527
Coefficient of variation (CV)0.8909782063
Kurtosis0.9534170348
Mean4572.304348
Median Absolute Deviation (MAD)2741.5
Skewness1.032241697
Sum420652
Variance16596038.13
MonotonicityNot monotonic
2022-12-08T10:54:13.789727image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1946 1
 
1.1%
7041 1
 
1.1%
2617 1
 
1.1%
1695 1
 
1.1%
8886 1
 
1.1%
4833 1
 
1.1%
1965 1
 
1.1%
1185 1
 
1.1%
2827 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
2 1
 
1.1%
3 1
 
1.1%
20 1
 
1.1%
23 1
 
1.1%
ValueCountFrequency (%)
19969 1
1.1%
12888 1
1.1%
12426 1
1.1%
12371 1
1.1%
12359 1
1.1%

538
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4961.51087
Minimum0
Maximum19040
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:13.922886image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11571.5
median3321
Q37939.75
95-th percentile13875.65
Maximum19040
Range19040
Interquartile range (IQR)6368.25

Descriptive statistics

Standard deviation4599.981845
Coefficient of variation (CV)0.9271332798
Kurtosis0.2039419937
Mean4961.51087
Median Absolute Deviation (MAD)2797.5
Skewness0.9948931559
Sum456459
Variance21159832.98
MonotonicityNot monotonic
2022-12-08T10:54:14.055048image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2216 1
 
1.1%
2065 1
 
1.1%
2630 1
 
1.1%
1790 1
 
1.1%
9221 1
 
1.1%
4910 1
 
1.1%
1621 1
 
1.1%
1235 1
 
1.1%
3691 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
26 1
 
1.1%
43 1
 
1.1%
54 1
 
1.1%
130 1
 
1.1%
ValueCountFrequency (%)
19040 1
1.1%
17364 1
1.1%
14915 1
1.1%
14199 1
1.1%
13951 1
1.1%

539
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4831.793478
Minimum0
Maximum16517
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:14.191706image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11655
median3516.5
Q38103.25
95-th percentile12761.55
Maximum16517
Range16517
Interquartile range (IQR)6448.25

Descriptive statistics

Standard deviation4321.797623
Coefficient of variation (CV)0.8944499889
Kurtosis-0.2166766197
Mean4831.793478
Median Absolute Deviation (MAD)2969
Skewness0.8661252024
Sum444525
Variance18677934.69
MonotonicityNot monotonic
2022-12-08T10:54:14.312495image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2 2
 
2.2%
2150 1
 
1.1%
7232 1
 
1.1%
2257 1
 
1.1%
3595 1
 
1.1%
1775 1
 
1.1%
8574 1
 
1.1%
4176 1
 
1.1%
1727 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 2
 
2.2%
33 1
 
1.1%
56 1
 
1.1%
186 1
 
1.1%
ValueCountFrequency (%)
16517 1
1.1%
16314 1
1.1%
14759 1
1.1%
12987 1
1.1%
12860 1
1.1%

540
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4696.619565
Minimum0
Maximum18184
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:14.437669image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q11446.25
median3097
Q38068.5
95-th percentile13092.65
Maximum18184
Range18184
Interquartile range (IQR)6622.25

Descriptive statistics

Standard deviation4504.312012
Coefficient of variation (CV)0.9590540493
Kurtosis0.1970637736
Mean4696.619565
Median Absolute Deviation (MAD)2667.5
Skewness1.034940965
Sum432089
Variance20288826.7
MonotonicityNot monotonic
2022-12-08T10:54:14.573333image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2000 2
 
2.2%
9 2
 
2.2%
9131 1
 
1.1%
1815 1
 
1.1%
2964 1
 
1.1%
1483 1
 
1.1%
8313 1
 
1.1%
4294 1
 
1.1%
1258 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
9 2
2.2%
14 1
 
1.1%
72 1
 
1.1%
84 1
 
1.1%
ValueCountFrequency (%)
18184 1
1.1%
16684 1
1.1%
15871 1
1.1%
13286 1
1.1%
13245 1
1.1%

541
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5794.217391
Minimum0
Maximum22468
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:14.712076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11357.25
median3844.5
Q39466.25
95-th percentile16256.8
Maximum22468
Range22468
Interquartile range (IQR)8109

Descriptive statistics

Standard deviation5564.146519
Coefficient of variation (CV)0.9602930202
Kurtosis0.246448237
Mean5794.217391
Median Absolute Deviation (MAD)3373.5
Skewness1.030733584
Sum533068
Variance30959726.48
MonotonicityNot monotonic
2022-12-08T10:54:14.854207image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2853 1
 
1.1%
1769 1
 
1.1%
4836 1
 
1.1%
1918 1
 
1.1%
9300 1
 
1.1%
4887 1
 
1.1%
1806 1
 
1.1%
1383 1
 
1.1%
3900 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
4 1
 
1.1%
18 1
 
1.1%
56 1
 
1.1%
ValueCountFrequency (%)
22468 1
1.1%
20815 1
1.1%
19315 1
1.1%
17384 1
1.1%
16446 1
1.1%

542
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5912.326087
Minimum0
Maximum21876
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:14.995844image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q11507
median3691
Q39809.5
95-th percentile15962.2
Maximum21876
Range21876
Interquartile range (IQR)8302.5

Descriptive statistics

Standard deviation5653.325139
Coefficient of variation (CV)0.9561930542
Kurtosis0.06233876849
Mean5912.326087
Median Absolute Deviation (MAD)3180
Skewness0.9892057491
Sum543934
Variance31960085.12
MonotonicityNot monotonic
2022-12-08T10:54:15.140962image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
292 2
 
2.2%
2 2
 
2.2%
10194 1
 
1.1%
3271 1
 
1.1%
4403 1
 
1.1%
1598 1
 
1.1%
8619 1
 
1.1%
5953 1
 
1.1%
1606 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
2 2
2.2%
86 1
 
1.1%
111 1
 
1.1%
123 1
 
1.1%
ValueCountFrequency (%)
21876 1
1.1%
21771 1
1.1%
19852 1
1.1%
17006 1
1.1%
16356 1
1.1%

543
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5225.663043
Minimum0
Maximum20818
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:15.288373image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q11349.75
median3776
Q38428
95-th percentile13724
Maximum20818
Range20818
Interquartile range (IQR)7078.25

Descriptive statistics

Standard deviation4810.030532
Coefficient of variation (CV)0.920463201
Kurtosis0.5465234354
Mean5225.663043
Median Absolute Deviation (MAD)3140.5
Skewness1.046219906
Sum480761
Variance23136393.72
MonotonicityNot monotonic
2022-12-08T10:54:15.423520image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2537 1
 
1.1%
1316 1
 
1.1%
3904 1
 
1.1%
2141 1
 
1.1%
8569 1
 
1.1%
3715 1
 
1.1%
1793 1
 
1.1%
1280 1
 
1.1%
1699 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
6 1
 
1.1%
27 1
 
1.1%
129 1
 
1.1%
230 1
 
1.1%
ValueCountFrequency (%)
20818 1
1.1%
18523 1
1.1%
17447 1
1.1%
14460 1
1.1%
13922 1
1.1%

544
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5156.51087
Minimum0
Maximum20287
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:15.567150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11363.75
median3188
Q38325.5
95-th percentile13988.35
Maximum20287
Range20287
Interquartile range (IQR)6961.75

Descriptive statistics

Standard deviation4873.65806
Coefficient of variation (CV)0.9451464728
Kurtosis0.204434687
Mean5156.51087
Median Absolute Deviation (MAD)2846.5
Skewness1.002169808
Sum474399
Variance23752542.89
MonotonicityNot monotonic
2022-12-08T10:54:15.716190image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1 2
 
2.2%
2378 1
 
1.1%
7264 1
 
1.1%
3159 1
 
1.1%
3793 1
 
1.1%
1797 1
 
1.1%
8816 1
 
1.1%
4526 1
 
1.1%
1370 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 2
 
2.2%
8 1
 
1.1%
69 1
 
1.1%
101 1
 
1.1%
ValueCountFrequency (%)
20287 1
1.1%
17805 1
1.1%
16678 1
1.1%
14458 1
1.1%
14144 1
1.1%

545
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4408.467391
Minimum0
Maximum17462
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:15.871798image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.35
Q1972
median2952
Q36918.25
95-th percentile11466.9
Maximum17462
Range17462
Interquartile range (IQR)5946.25

Descriptive statistics

Standard deviation4155.402141
Coefficient of variation (CV)0.9425956398
Kurtosis0.2993590372
Mean4408.467391
Median Absolute Deviation (MAD)2586
Skewness1.002409052
Sum405579
Variance17267366.95
MonotonicityNot monotonic
2022-12-08T10:54:16.013054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2243 1
 
1.1%
8360 1
 
1.1%
1985 1
 
1.1%
1209 1
 
1.1%
6449 1
 
1.1%
3918 1
 
1.1%
1582 1
 
1.1%
650 1
 
1.1%
2354 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
38 1
 
1.1%
74 1
 
1.1%
136 1
 
1.1%
ValueCountFrequency (%)
17462 1
1.1%
15444 1
1.1%
14929 1
1.1%
12135 1
1.1%
11523 1
1.1%

546
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4395.23913
Minimum0
Maximum16398
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:16.163683image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.55
Q11442.75
median3008.5
Q37290.75
95-th percentile12215.65
Maximum16398
Range16398
Interquartile range (IQR)5848

Descriptive statistics

Standard deviation4025.994083
Coefficient of variation (CV)0.9159897707
Kurtosis0.06587655092
Mean4395.23913
Median Absolute Deviation (MAD)2468.5
Skewness0.9719825556
Sum404362
Variance16208628.36
MonotonicityNot monotonic
2022-12-08T10:54:16.296217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2 2
 
2.2%
2105 1
 
1.1%
9483 1
 
1.1%
1439 1
 
1.1%
7395 1
 
1.1%
3181 1
 
1.1%
1481 1
 
1.1%
907 1
 
1.1%
2156 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
2 2
2.2%
3 1
1.1%
79 1
1.1%
ValueCountFrequency (%)
16398 1
1.1%
14138 1
1.1%
13942 1
1.1%
13196 1
1.1%
13094 1
1.1%

547
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5930.684783
Minimum0
Maximum21760
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:16.460293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11178.25
median3940.5
Q39513.25
95-th percentile15981.9
Maximum21760
Range21760
Interquartile range (IQR)8335

Descriptive statistics

Standard deviation5617.09832
Coefficient of variation (CV)0.9471247463
Kurtosis-0.08316249429
Mean5930.684783
Median Absolute Deviation (MAD)3340
Skewness0.9432663015
Sum545623
Variance31551793.54
MonotonicityNot monotonic
2022-12-08T10:54:16.602927image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3886 2
 
2.2%
1152 1
 
1.1%
3449 1
 
1.1%
5257 1
 
1.1%
1776 1
 
1.1%
9778 1
 
1.1%
4912 1
 
1.1%
1574 1
 
1.1%
1055 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
63 1
 
1.1%
84 1
 
1.1%
177 1
 
1.1%
ValueCountFrequency (%)
21760 1
1.1%
19853 1
1.1%
19616 1
1.1%
18130 1
1.1%
16621 1
1.1%

548
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4347.391304
Minimum0
Maximum16655
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:16.746867image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11240
median2698.5
Q37363
95-th percentile12073.65
Maximum16655
Range16655
Interquartile range (IQR)6123

Descriptive statistics

Standard deviation4171.723574
Coefficient of variation (CV)0.9595923814
Kurtosis-0.07015630369
Mean4347.391304
Median Absolute Deviation (MAD)2403
Skewness0.9668715173
Sum399960
Variance17403277.58
MonotonicityNot monotonic
2022-12-08T10:54:16.895493image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2479 2
 
2.2%
2331 1
 
1.1%
2111 1
 
1.1%
2820 1
 
1.1%
1441 1
 
1.1%
6995 1
 
1.1%
3405 1
 
1.1%
1395 1
 
1.1%
1216 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
24 1
 
1.1%
44 1
 
1.1%
114 1
 
1.1%
ValueCountFrequency (%)
16655 1
1.1%
14936 1
1.1%
13500 1
1.1%
12776 1
1.1%
12732 1
1.1%

549
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5241.423913
Minimum0
Maximum19938
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:17.072042image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q11461.25
median3248.5
Q38889.75
95-th percentile15914.45
Maximum19938
Range19938
Interquartile range (IQR)7428.5

Descriptive statistics

Standard deviation4980.577007
Coefficient of variation (CV)0.9502335796
Kurtosis0.1829047709
Mean5241.423913
Median Absolute Deviation (MAD)2988.5
Skewness0.9952375781
Sum482211
Variance24806147.32
MonotonicityNot monotonic
2022-12-08T10:54:17.229130image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
198 2
 
2.2%
1604 1
 
1.1%
2474 1
 
1.1%
3458 1
 
1.1%
2050 1
 
1.1%
9297 1
 
1.1%
3594 1
 
1.1%
1854 1
 
1.1%
1229 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
3 1
 
1.1%
11 1
 
1.1%
43 1
 
1.1%
ValueCountFrequency (%)
19938 1
1.1%
17858 1
1.1%
17521 1
1.1%
16597 1
1.1%
16168 1
1.1%

550
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4599.73913
Minimum0
Maximum18241
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:17.384736image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q1949.75
median2821.5
Q37531
95-th percentile12906.7
Maximum18241
Range18241
Interquartile range (IQR)6581.25

Descriptive statistics

Standard deviation4465.271368
Coefficient of variation (CV)0.9707662199
Kurtosis-0.01982404618
Mean4599.73913
Median Absolute Deviation (MAD)2569
Skewness0.9458469028
Sum423176
Variance19938648.39
MonotonicityNot monotonic
2022-12-08T10:54:17.522292image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
7486 2
 
2.2%
9587 1
 
1.1%
2463 1
 
1.1%
1082 1
 
1.1%
4826 1
 
1.1%
1617 1
 
1.1%
962 1
 
1.1%
2322 1
 
1.1%
6780 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
3 1
 
1.1%
5 1
 
1.1%
14 1
 
1.1%
41 1
 
1.1%
ValueCountFrequency (%)
18241 1
1.1%
16218 1
1.1%
13441 1
1.1%
13079 1
1.1%
12921 1
1.1%

551
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5858.73913
Minimum0
Maximum23120
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:17.684893image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q11559
median3624.5
Q38861
95-th percentile16770.15
Maximum23120
Range23120
Interquartile range (IQR)7302

Descriptive statistics

Standard deviation5721.680543
Coefficient of variation (CV)0.976606129
Kurtosis0.6171033616
Mean5858.73913
Median Absolute Deviation (MAD)3319
Skewness1.141743108
Sum539004
Variance32737628.24
MonotonicityNot monotonic
2022-12-08T10:54:17.811075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2539 1
 
1.1%
1962 1
 
1.1%
3544 1
 
1.1%
1565 1
 
1.1%
8794 1
 
1.1%
5391 1
 
1.1%
1541 1
 
1.1%
1068 1
 
1.1%
3843 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
4 1
 
1.1%
6 1
 
1.1%
16 1
 
1.1%
76 1
 
1.1%
ValueCountFrequency (%)
23120 1
1.1%
22120 1
1.1%
21238 1
1.1%
18307 1
1.1%
17533 1
1.1%

552
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5314.565217
Minimum0
Maximum21461
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:17.942240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11390.75
median3333.5
Q38601.25
95-th percentile14510.45
Maximum21461
Range21461
Interquartile range (IQR)7210.5

Descriptive statistics

Standard deviation5118.746411
Coefficient of variation (CV)0.963154313
Kurtosis0.6203149186
Mean5314.565217
Median Absolute Deviation (MAD)3004.5
Skewness1.090140087
Sum488940
Variance26201564.82
MonotonicityNot monotonic
2022-12-08T10:54:18.070928image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
541 2
 
2.2%
2470 1
 
1.1%
1969 1
 
1.1%
3218 1
 
1.1%
1553 1
 
1.1%
9184 1
 
1.1%
4829 1
 
1.1%
1753 1
 
1.1%
910 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
54 1
 
1.1%
78 1
 
1.1%
153 1
 
1.1%
ValueCountFrequency (%)
21461 1
1.1%
21045 1
1.1%
16864 1
1.1%
15529 1
1.1%
14709 1
1.1%

553
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5086.347826
Minimum0
Maximum19791
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:18.194551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55
Q11167.5
median3352
Q38243
95-th percentile14274.1
Maximum19791
Range19791
Interquartile range (IQR)7075.5

Descriptive statistics

Standard deviation4865.11776
Coefficient of variation (CV)0.9565051245
Kurtosis0.1387915454
Mean5086.347826
Median Absolute Deviation (MAD)3076
Skewness0.9865148001
Sum467944
Variance23669370.82
MonotonicityNot monotonic
2022-12-08T10:54:18.340670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
3108 2
 
2.2%
2433 1
 
1.1%
11441 1
 
1.1%
1241 1
 
1.1%
9093 1
 
1.1%
4219 1
 
1.1%
1987 1
 
1.1%
1176 1
 
1.1%
2673 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
2 1
 
1.1%
3 1
 
1.1%
4 1
 
1.1%
5 1
 
1.1%
ValueCountFrequency (%)
19791 1
1.1%
18540 1
1.1%
14948 1
1.1%
14703 1
1.1%
14537 1
1.1%

554
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4934.119565
Minimum0
Maximum20825
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:18.480315image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11169
median3281
Q38008.75
95-th percentile13972.45
Maximum20825
Range20825
Interquartile range (IQR)6839.75

Descriptive statistics

Standard deviation4750.463297
Coefficient of variation (CV)0.9627783101
Kurtosis0.7157555896
Mean4934.119565
Median Absolute Deviation (MAD)2904
Skewness1.124468612
Sum453939
Variance22566901.53
MonotonicityNot monotonic
2022-12-08T10:54:18.602537image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
4116 2
 
2.2%
2129 1
 
1.1%
1773 1
 
1.1%
1814 1
 
1.1%
8147 1
 
1.1%
3893 1
 
1.1%
1478 1
 
1.1%
1177 1
 
1.1%
2596 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 6
6.5%
63 1
 
1.1%
75 1
 
1.1%
102 1
 
1.1%
153 1
 
1.1%
ValueCountFrequency (%)
20825 1
1.1%
17416 1
1.1%
16654 1
1.1%
15277 1
1.1%
14182 1
1.1%

555
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5156.98913
Minimum0
Maximum21292
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:18.729707image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11501.5
median3446.5
Q38776.75
95-th percentile13690.95
Maximum21292
Range21292
Interquartile range (IQR)7275.25

Descriptive statistics

Standard deviation4820.891171
Coefficient of variation (CV)0.9348267078
Kurtosis0.2854898698
Mean5156.98913
Median Absolute Deviation (MAD)3078.5
Skewness0.9668713956
Sum474443
Variance23240991.68
MonotonicityNot monotonic
2022-12-08T10:54:18.861928image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2590 1
 
1.1%
2155 1
 
1.1%
2615 1
 
1.1%
1540 1
 
1.1%
9606 1
 
1.1%
3963 1
 
1.1%
1819 1
 
1.1%
1168 1
 
1.1%
3857 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
23 1
 
1.1%
118 1
 
1.1%
133 1
 
1.1%
ValueCountFrequency (%)
21292 1
1.1%
16518 1
1.1%
16386 1
1.1%
14832 1
1.1%
14522 1
1.1%

556
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4855.695652
Minimum0
Maximum18041
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:19.016929image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11205.75
median3039.5
Q38451
95-th percentile13003.75
Maximum18041
Range18041
Interquartile range (IQR)7245.25

Descriptive statistics

Standard deviation4660.624794
Coefficient of variation (CV)0.9598263828
Kurtosis-0.01623166557
Mean4855.695652
Median Absolute Deviation (MAD)2741.5
Skewness0.9629571801
Sum446724
Variance21721423.47
MonotonicityNot monotonic
2022-12-08T10:54:19.150091image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2284 1
 
1.1%
1130 1
 
1.1%
3582 1
 
1.1%
1426 1
 
1.1%
8312 1
 
1.1%
3556 1
 
1.1%
1485 1
 
1.1%
707 1
 
1.1%
2159 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
2 1
 
1.1%
13 1
 
1.1%
40 1
 
1.1%
ValueCountFrequency (%)
18041 1
1.1%
17491 1
1.1%
16296 1
1.1%
14085 1
1.1%
13232 1
1.1%

557
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4657.565217
Minimum0
Maximum16816
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:19.283771image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.65
Q11397
median2921
Q38248.75
95-th percentile12968.5
Maximum16816
Range16816
Interquartile range (IQR)6851.75

Descriptive statistics

Standard deviation4470.953364
Coefficient of variation (CV)0.9599336038
Kurtosis-0.1379848571
Mean4657.565217
Median Absolute Deviation (MAD)2574
Skewness0.9566262272
Sum428496
Variance19989423.98
MonotonicityNot monotonic
2022-12-08T10:54:19.414445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1672 1
 
1.1%
8506 1
 
1.1%
3030 1
 
1.1%
1523 1
 
1.1%
7478 1
 
1.1%
4379 1
 
1.1%
1625 1
 
1.1%
1175 1
 
1.1%
2136 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
2 1
 
1.1%
3 1
 
1.1%
6 1
 
1.1%
23 1
 
1.1%
ValueCountFrequency (%)
16816 1
1.1%
16071 1
1.1%
15855 1
1.1%
13246 1
1.1%
13139 1
1.1%

558
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4585.413043
Minimum0
Maximum18118
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:19.563560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q11241
median3210
Q37467
95-th percentile13286.45
Maximum18118
Range18118
Interquartile range (IQR)6226

Descriptive statistics

Standard deviation4313.181048
Coefficient of variation (CV)0.9406308672
Kurtosis0.3819225232
Mean4585.413043
Median Absolute Deviation (MAD)2797.5
Skewness1.017302182
Sum421858
Variance18603530.75
MonotonicityNot monotonic
2022-12-08T10:54:19.696229image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
623 2
 
2.2%
2057 1
 
1.1%
1537 1
 
1.1%
3279 1
 
1.1%
1139 1
 
1.1%
7312 1
 
1.1%
4411 1
 
1.1%
1592 1
 
1.1%
717 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
7 1
 
1.1%
76 1
 
1.1%
87 1
 
1.1%
ValueCountFrequency (%)
18118 1
1.1%
16231 1
1.1%
14436 1
1.1%
13870 1
1.1%
13496 1
1.1%

559
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5334.532609
Minimum0
Maximum20827
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:19.838261image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11249.25
median3789
Q39029.75
95-th percentile15716.35
Maximum20827
Range20827
Interquartile range (IQR)7780.5

Descriptive statistics

Standard deviation5124.680429
Coefficient of variation (CV)0.9606615622
Kurtosis0.215540878
Mean5334.532609
Median Absolute Deviation (MAD)3069.5
Skewness1.02765145
Sum490777
Variance26262349.5
MonotonicityNot monotonic
2022-12-08T10:54:19.963446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2843 1
 
1.1%
10538 1
 
1.1%
3429 1
 
1.1%
858 1
 
1.1%
9095 1
 
1.1%
5362 1
 
1.1%
2109 1
 
1.1%
1244 1
 
1.1%
3900 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
16 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
20827 1
1.1%
18323 1
1.1%
17349 1
1.1%
16746 1
1.1%
16554 1
1.1%

560
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5433.108696
Minimum0
Maximum23369
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:20.084155image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.2
Q11715.75
median3993.5
Q38817
95-th percentile14149
Maximum23369
Range23369
Interquartile range (IQR)7101.25

Descriptive statistics

Standard deviation5026.78392
Coefficient of variation (CV)0.925213207
Kurtosis0.8522094229
Mean5433.108696
Median Absolute Deviation (MAD)3087.5
Skewness1.103123941
Sum499846
Variance25268556.58
MonotonicityNot monotonic
2022-12-08T10:54:20.213320image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2494 2
 
2.2%
2839 1
 
1.1%
12895 1
 
1.1%
2477 1
 
1.1%
10720 1
 
1.1%
4882 1
 
1.1%
1759 1
 
1.1%
1545 1
 
1.1%
3754 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
5 1
 
1.1%
9 1
 
1.1%
16 1
 
1.1%
34 1
 
1.1%
ValueCountFrequency (%)
23369 1
1.1%
18817 1
1.1%
16340 1
1.1%
15681 1
1.1%
14303 1
1.1%

561
Real number (ℝ)

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4865.597826
Minimum0
Maximum18319
Zeros7
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:20.354535image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11398
median2632.5
Q38120
95-th percentile14191.95
Maximum18319
Range18319
Interquartile range (IQR)6722

Descriptive statistics

Standard deviation4804.201829
Coefficient of variation (CV)0.9873816128
Kurtosis-0.1533558769
Mean4865.597826
Median Absolute Deviation (MAD)2364.5
Skewness0.9760206037
Sum447635
Variance23080355.21
MonotonicityNot monotonic
2022-12-08T10:54:20.489190image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
7.6%
3465 2
 
2.2%
2096 1
 
1.1%
1737 1
 
1.1%
2356 1
 
1.1%
2553 1
 
1.1%
1775 1
 
1.1%
9892 1
 
1.1%
1467 1
 
1.1%
1286 1
 
1.1%
Other values (75) 75
81.5%
ValueCountFrequency (%)
0 7
7.6%
9 1
 
1.1%
33 1
 
1.1%
137 1
 
1.1%
189 1
 
1.1%
ValueCountFrequency (%)
18319 1
1.1%
17432 1
1.1%
15446 1
1.1%
14759 1
1.1%
14715 1
1.1%

562
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4693.923913
Minimum0
Maximum17994
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:20.616358image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11174.25
median3148.5
Q37051.75
95-th percentile12570.9
Maximum17994
Range17994
Interquartile range (IQR)5877.5

Descriptive statistics

Standard deviation4324.547282
Coefficient of variation (CV)0.9213074949
Kurtosis0.195871438
Mean4693.923913
Median Absolute Deviation (MAD)2796.5
Skewness0.96293968
Sum431841
Variance18701709.19
MonotonicityNot monotonic
2022-12-08T10:54:20.739538image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1753 2
 
2.2%
6734 2
 
2.2%
2248 1
 
1.1%
10807 1
 
1.1%
4900 1
 
1.1%
8907 1
 
1.1%
4025 1
 
1.1%
1595 1
 
1.1%
1172 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
11 1
 
1.1%
31 1
 
1.1%
34 1
 
1.1%
ValueCountFrequency (%)
17994 1
1.1%
16717 1
1.1%
14315 1
1.1%
12972 1
1.1%
12583 1
1.1%

563
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4875.847826
Minimum0
Maximum20097
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:20.871749image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.5
Q11319
median3059
Q38238.75
95-th percentile12854.4
Maximum20097
Range20097
Interquartile range (IQR)6919.75

Descriptive statistics

Standard deviation4622.306006
Coefficient of variation (CV)0.9480004649
Kurtosis0.08901683337
Mean4875.847826
Median Absolute Deviation (MAD)2659.5
Skewness0.9673081809
Sum448578
Variance21365712.81
MonotonicityNot monotonic
2022-12-08T10:54:21.038818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
696 2
 
2.2%
2459 1
 
1.1%
11572 1
 
1.1%
1337 1
 
1.1%
6476 1
 
1.1%
4673 1
 
1.1%
1255 1
 
1.1%
1062 1
 
1.1%
3061 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
10 1
 
1.1%
13 1
 
1.1%
24 1
 
1.1%
72 1
 
1.1%
ValueCountFrequency (%)
20097 1
1.1%
14910 1
1.1%
14338 1
1.1%
13770 1
1.1%
12982 1
1.1%

564
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5830.858696
Minimum0
Maximum22583
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:21.186459image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11741.75
median3778.5
Q39347.5
95-th percentile15008.45
Maximum22583
Range22583
Interquartile range (IQR)7605.75

Descriptive statistics

Standard deviation5439.565403
Coefficient of variation (CV)0.9328926813
Kurtosis0.639279379
Mean5830.858696
Median Absolute Deviation (MAD)3262
Skewness1.097865728
Sum536439
Variance29588871.77
MonotonicityNot monotonic
2022-12-08T10:54:21.348543image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2399 1
 
1.1%
1998 1
 
1.1%
4061 1
 
1.1%
2265 1
 
1.1%
9547 1
 
1.1%
5622 1
 
1.1%
2225 1
 
1.1%
1717 1
 
1.1%
3142 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
18 1
 
1.1%
60 1
 
1.1%
99 1
 
1.1%
ValueCountFrequency (%)
22583 1
1.1%
21871 1
1.1%
19497 1
1.1%
18958 1
1.1%
15119 1
1.1%

565
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4798.858696
Minimum0
Maximum18867
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:21.523262image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47.25
Q11455.25
median3452
Q37853
95-th percentile11908.9
Maximum18867
Range18867
Interquartile range (IQR)6397.75

Descriptive statistics

Standard deviation4339.577246
Coefficient of variation (CV)0.9042936083
Kurtosis0.7858286186
Mean4798.858696
Median Absolute Deviation (MAD)2792
Skewness1.083525571
Sum441495
Variance18831930.67
MonotonicityNot monotonic
2022-12-08T10:54:21.688856image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2098 1
 
1.1%
8817 1
 
1.1%
3126 1
 
1.1%
1740 1
 
1.1%
7778 1
 
1.1%
4649 1
 
1.1%
2305 1
 
1.1%
805 1
 
1.1%
2340 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
39 1
 
1.1%
54 1
 
1.1%
65 1
 
1.1%
192 1
 
1.1%
ValueCountFrequency (%)
18867 1
1.1%
18165 1
1.1%
15771 1
1.1%
12103 1
1.1%
12042 1
1.1%

566
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5912.054348
Minimum0
Maximum22869
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:21.851933image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.6
Q11763.25
median3779.5
Q310119.5
95-th percentile16828.35
Maximum22869
Range22869
Interquartile range (IQR)8356.25

Descriptive statistics

Standard deviation5570.202335
Coefficient of variation (CV)0.9421771194
Kurtosis0.1889189573
Mean5912.054348
Median Absolute Deviation (MAD)3197.5
Skewness1.003039806
Sum543909
Variance31027154.05
MonotonicityNot monotonic
2022-12-08T10:54:21.991577image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
2369 1
 
1.1%
11187 1
 
1.1%
3273 1
 
1.1%
1951 1
 
1.1%
10513 1
 
1.1%
6836 1
 
1.1%
2425 1
 
1.1%
1391 1
 
1.1%
3818 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 3
3.3%
2 1
 
1.1%
7 1
 
1.1%
19 1
 
1.1%
57 1
 
1.1%
ValueCountFrequency (%)
22869 1
1.1%
20252 1
1.1%
18610 1
1.1%
18555 1
1.1%
17292 1
1.1%

567
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5755.228261
Minimum0
Maximum24648
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:22.126728image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11529.75
median3152
Q39235
95-th percentile16166.9
Maximum24648
Range24648
Interquartile range (IQR)7705.25

Descriptive statistics

Standard deviation5865.445494
Coefficient of variation (CV)1.019150801
Kurtosis0.9962821987
Mean5755.228261
Median Absolute Deviation (MAD)2780
Skewness1.234888659
Sum529481
Variance34403450.84
MonotonicityNot monotonic
2022-12-08T10:54:22.268862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2958 1
 
1.1%
2568 1
 
1.1%
3560 1
 
1.1%
2024 1
 
1.1%
10239 1
 
1.1%
4232 1
 
1.1%
1604 1
 
1.1%
1322 1
 
1.1%
2752 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
18 1
 
1.1%
65 1
 
1.1%
96 1
 
1.1%
ValueCountFrequency (%)
24648 1
1.1%
24230 1
1.1%
21177 1
1.1%
17459 1
1.1%
16168 1
1.1%

568
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5209.576087
Minimum0
Maximum18977
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:22.400524image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11565.5
median3471.5
Q38395.25
95-th percentile14818.45
Maximum18977
Range18977
Interquartile range (IQR)6829.75

Descriptive statistics

Standard deviation4836.35252
Coefficient of variation (CV)0.9283581695
Kurtosis0.1656819896
Mean5209.576087
Median Absolute Deviation (MAD)3050.5
Skewness0.9844136331
Sum479281
Variance23390305.7
MonotonicityNot monotonic
2022-12-08T10:54:22.531236image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2585 1
 
1.1%
2597 1
 
1.1%
3617 1
 
1.1%
1835 1
 
1.1%
7807 1
 
1.1%
4504 1
 
1.1%
1513 1
 
1.1%
1147 1
 
1.1%
3834 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
2 1
 
1.1%
6 1
 
1.1%
8 1
 
1.1%
52 1
 
1.1%
ValueCountFrequency (%)
18977 1
1.1%
18592 1
1.1%
16835 1
1.1%
15568 1
1.1%
15215 1
1.1%

569
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4961.065217
Minimum0
Maximum21322
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:22.674371image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.2
Q11555.5
median3220
Q37659
95-th percentile13269.05
Maximum21322
Range21322
Interquartile range (IQR)6103.5

Descriptive statistics

Standard deviation4644.994332
Coefficient of variation (CV)0.9362897138
Kurtosis0.9355128036
Mean4961.065217
Median Absolute Deviation (MAD)2776
Skewness1.133923514
Sum456418
Variance21575972.35
MonotonicityNot monotonic
2022-12-08T10:54:22.808042image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2102 1
 
1.1%
10010 1
 
1.1%
3146 1
 
1.1%
1813 1
 
1.1%
8101 1
 
1.1%
4565 1
 
1.1%
1551 1
 
1.1%
1044 1
 
1.1%
3110 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
4 1
 
1.1%
28 1
 
1.1%
40 1
 
1.1%
88 1
 
1.1%
ValueCountFrequency (%)
21322 1
1.1%
17413 1
1.1%
16028 1
1.1%
14980 1
1.1%
13692 1
1.1%

570
Real number (ℝ)

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4880.445652
Minimum0
Maximum19736
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:22.943198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.3
Q11524.75
median3016.5
Q38108
95-th percentile13894.9
Maximum19736
Range19736
Interquartile range (IQR)6583.25

Descriptive statistics

Standard deviation4686.01269
Coefficient of variation (CV)0.9601608181
Kurtosis0.3891811838
Mean4880.445652
Median Absolute Deviation (MAD)2631.5
Skewness1.067656148
Sum449001
Variance21958714.93
MonotonicityNot monotonic
2022-12-08T10:54:23.081450image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.2%
2474 1
 
1.1%
14347 1
 
1.1%
1552 1
 
1.1%
8794 1
 
1.1%
3959 1
 
1.1%
1707 1
 
1.1%
992 1
 
1.1%
2559 1
 
1.1%
9548 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
0 2
2.2%
1 1
1.1%
3 1
1.1%
30 1
1.1%
36 1
1.1%
ValueCountFrequency (%)
19736 1
1.1%
17605 1
1.1%
15453 1
1.1%
14804 1
1.1%
14347 1
1.1%

571
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5525.869565
Minimum0
Maximum23943
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:23.215603image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.1
Q11486.25
median3507
Q38933.5
95-th percentile16403.25
Maximum23943
Range23943
Interquartile range (IQR)7447.25

Descriptive statistics

Standard deviation5290.553521
Coefficient of variation (CV)0.957415563
Kurtosis0.9623397285
Mean5525.869565
Median Absolute Deviation (MAD)3021.5
Skewness1.175764841
Sum508380
Variance27989956.55
MonotonicityNot monotonic
2022-12-08T10:54:23.345773image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2999 1
 
1.1%
2366 1
 
1.1%
3885 1
 
1.1%
1867 1
 
1.1%
11154 1
 
1.1%
5393 1
 
1.1%
2206 1
 
1.1%
1301 1
 
1.1%
3529 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
22 1
 
1.1%
43 1
 
1.1%
46 1
 
1.1%
82 1
 
1.1%
ValueCountFrequency (%)
23943 1
1.1%
19353 1
1.1%
17894 1
1.1%
17340 1
1.1%
17308 1
1.1%

572
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5152.728261
Minimum0
Maximum19461
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:23.482436image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.5
Q11521
median3452
Q38356.25
95-th percentile14578.75
Maximum19461
Range19461
Interquartile range (IQR)6835.25

Descriptive statistics

Standard deviation4786.551851
Coefficient of variation (CV)0.9289354315
Kurtosis0.2353058711
Mean5152.728261
Median Absolute Deviation (MAD)3068.5
Skewness0.9975727516
Sum474051
Variance22911078.62
MonotonicityNot monotonic
2022-12-08T10:54:23.612608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2050 1
 
1.1%
1628 1
 
1.1%
4028 1
 
1.1%
1437 1
 
1.1%
9613 1
 
1.1%
4976 1
 
1.1%
1914 1
 
1.1%
1077 1
 
1.1%
3059 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
10 1
 
1.1%
16 1
 
1.1%
40 1
 
1.1%
54 1
 
1.1%
ValueCountFrequency (%)
19461 1
1.1%
18548 1
1.1%
15848 1
1.1%
14993 1
1.1%
14719 1
1.1%

573
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6177.152174
Minimum0
Maximum25147
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:23.786175image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile58.65
Q11815.5
median4123
Q39489.75
95-th percentile15934.25
Maximum25147
Range25147
Interquartile range (IQR)7674.25

Descriptive statistics

Standard deviation5786.861718
Coefficient of variation (CV)0.9368170891
Kurtosis0.6036488232
Mean6177.152174
Median Absolute Deviation (MAD)3481
Skewness1.088387098
Sum568298
Variance33487768.55
MonotonicityNot monotonic
2022-12-08T10:54:23.915344image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
3099 1
 
1.1%
13590 1
 
1.1%
4856 1
 
1.1%
2156 1
 
1.1%
11702 1
 
1.1%
5203 1
 
1.1%
2888 1
 
1.1%
1466 1
 
1.1%
4708 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
13 1
 
1.1%
96 1
 
1.1%
115 1
 
1.1%
154 1
 
1.1%
ValueCountFrequency (%)
25147 1
1.1%
22292 1
1.1%
21084 1
1.1%
17151 1
1.1%
16443 1
1.1%

574
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4505.673913
Minimum0
Maximum20199
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:24.056090image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q11050
median2954
Q36739.25
95-th percentile12788.2
Maximum20199
Range20199
Interquartile range (IQR)5689.25

Descriptive statistics

Standard deviation4380.488997
Coefficient of variation (CV)0.9722161615
Kurtosis1.055635497
Mean4505.673913
Median Absolute Deviation (MAD)2501.5
Skewness1.183498925
Sum414522
Variance19188683.85
MonotonicityNot monotonic
2022-12-08T10:54:24.188771image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2219 1
 
1.1%
10203 1
 
1.1%
3009 1
 
1.1%
1060 1
 
1.1%
6513 1
 
1.1%
3799 1
 
1.1%
1803 1
 
1.1%
999 1
 
1.1%
2909 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
7 1
 
1.1%
26 1
 
1.1%
27 1
 
1.1%
ValueCountFrequency (%)
20199 1
1.1%
16906 1
1.1%
13784 1
1.1%
13190 1
1.1%
12896 1
1.1%

575
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4852.5
Minimum0
Maximum20814
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:24.317941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11480.25
median2840
Q37943.25
95-th percentile13355.8
Maximum20814
Range20814
Interquartile range (IQR)6463

Descriptive statistics

Standard deviation4642.597436
Coefficient of variation (CV)0.9567434181
Kurtosis0.7702992653
Mean4852.5
Median Absolute Deviation (MAD)2652
Skewness1.125170564
Sum446430
Variance21553710.96
MonotonicityNot monotonic
2022-12-08T10:54:24.435739image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2159 1
 
1.1%
10292 1
 
1.1%
3377 1
 
1.1%
2467 1
 
1.1%
8707 1
 
1.1%
4764 1
 
1.1%
1572 1
 
1.1%
1488 1
 
1.1%
3356 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
23 1
 
1.1%
39 1
 
1.1%
ValueCountFrequency (%)
20814 1
1.1%
16957 1
1.1%
15979 1
1.1%
15419 1
1.1%
13699 1
1.1%

576
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6197.576087
Minimum0
Maximum22593
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:24.557933image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11854.5
median3867.5
Q310214.75
95-th percentile17601.15
Maximum22593
Range22593
Interquartile range (IQR)8360.25

Descriptive statistics

Standard deviation5842.673547
Coefficient of variation (CV)0.942735267
Kurtosis0.1106046868
Mean6197.576087
Median Absolute Deviation (MAD)3435
Skewness1.009108654
Sum570177
Variance34136834.18
MonotonicityNot monotonic
2022-12-08T10:54:24.687619image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2916 1
 
1.1%
2656 1
 
1.1%
4012 1
 
1.1%
2026 1
 
1.1%
11212 1
 
1.1%
5557 1
 
1.1%
1631 1
 
1.1%
1200 1
 
1.1%
3398 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
9 1
 
1.1%
64 1
 
1.1%
186 1
 
1.1%
ValueCountFrequency (%)
22593 1
1.1%
21218 1
1.1%
21097 1
1.1%
18284 1
1.1%
17924 1
1.1%

577
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4876.804348
Minimum0
Maximum17556
Zeros3
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:24.804824image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.8
Q11749.5
median3584.5
Q37812.5
95-th percentile12718.65
Maximum17556
Range17556
Interquartile range (IQR)6063

Descriptive statistics

Standard deviation4267.540518
Coefficient of variation (CV)0.8750690439
Kurtosis0.3211266527
Mean4876.804348
Median Absolute Deviation (MAD)3057.5
Skewness0.9492647699
Sum448666
Variance18211902.07
MonotonicityNot monotonic
2022-12-08T10:54:24.929012image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.3%
1069 2
 
2.2%
2247 1
 
1.1%
9371 1
 
1.1%
2115 1
 
1.1%
8520 1
 
1.1%
4585 1
 
1.1%
1752 1
 
1.1%
1739 1
 
1.1%
5094 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 3
3.3%
16 1
 
1.1%
21 1
 
1.1%
37 1
 
1.1%
40 1
 
1.1%
ValueCountFrequency (%)
17556 1
1.1%
17059 1
1.1%
15531 1
1.1%
13696 1
1.1%
13399 1
1.1%

578
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4186.25
Minimum0
Maximum16014
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:25.059522image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q1951.25
median2686.5
Q36927.25
95-th percentile11334.05
Maximum16014
Range16014
Interquartile range (IQR)5976

Descriptive statistics

Standard deviation3913.469037
Coefficient of variation (CV)0.9348388264
Kurtosis-0.2204435445
Mean4186.25
Median Absolute Deviation (MAD)2350
Skewness0.8538565935
Sum385135
Variance15315239.9
MonotonicityNot monotonic
2022-12-08T10:54:25.197181image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2507 2
 
2.2%
2031 1
 
1.1%
608 1
 
1.1%
1286 1
 
1.1%
7442 1
 
1.1%
4425 1
 
1.1%
1719 1
 
1.1%
676 1
 
1.1%
407 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1 1
 
1.1%
46 1
 
1.1%
51 1
 
1.1%
72 1
 
1.1%
ValueCountFrequency (%)
16014 1
1.1%
13303 1
1.1%
12092 1
1.1%
11967 1
1.1%
11482 1
1.1%

579
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6275.315217
Minimum0
Maximum26004
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:25.329343image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.6
Q12068.5
median4109.5
Q310237.25
95-th percentile17316.8
Maximum26004
Range26004
Interquartile range (IQR)8168.75

Descriptive statistics

Standard deviation5912.178375
Coefficient of variation (CV)0.9421324938
Kurtosis0.6566103459
Mean6275.315217
Median Absolute Deviation (MAD)3534.5
Skewness1.104717284
Sum577329
Variance34953853.14
MonotonicityNot monotonic
2022-12-08T10:54:25.460499image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2810 1
 
1.1%
13457 1
 
1.1%
4168 1
 
1.1%
2420 1
 
1.1%
10960 1
 
1.1%
5915 1
 
1.1%
2437 1
 
1.1%
1438 1
 
1.1%
3448 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
53 1
 
1.1%
65 1
 
1.1%
70 1
 
1.1%
76 1
 
1.1%
ValueCountFrequency (%)
26004 1
1.1%
20894 1
1.1%
20880 1
1.1%
19875 1
1.1%
19090 1
1.1%

580
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4129.206522
Minimum0
Maximum16008
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:25.613734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.9
Q1997
median2985
Q36251.75
95-th percentile11148.15
Maximum16008
Range16008
Interquartile range (IQR)5254.75

Descriptive statistics

Standard deviation3743.858275
Coefficient of variation (CV)0.9066774101
Kurtosis0.4954053022
Mean4129.206522
Median Absolute Deviation (MAD)2229.5
Skewness1.024076579
Sum379887
Variance14016474.78
MonotonicityNot monotonic
2022-12-08T10:54:25.758403image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2780 1
 
1.1%
9842 1
 
1.1%
2685 1
 
1.1%
1288 1
 
1.1%
6090 1
 
1.1%
4782 1
 
1.1%
1086 1
 
1.1%
741 1
 
1.1%
1568 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
39 1
 
1.1%
65 1
 
1.1%
128 1
 
1.1%
ValueCountFrequency (%)
16008 1
1.1%
14205 1
1.1%
13243 1
1.1%
12178 1
1.1%
11713 1
1.1%

581
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5033.673913
Minimum0
Maximum20573
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:25.900051image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11573.5
median3251
Q38257.25
95-th percentile13798.55
Maximum20573
Range20573
Interquartile range (IQR)6683.75

Descriptive statistics

Standard deviation4651.269384
Coefficient of variation (CV)0.9240307307
Kurtosis0.4182379912
Mean5033.673913
Median Absolute Deviation (MAD)2950.5
Skewness1.000921615
Sum463098
Variance21634306.88
MonotonicityNot monotonic
2022-12-08T10:54:26.055154image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
8894 2
 
2.2%
2447 1
 
1.1%
3760 1
 
1.1%
2486 1
 
1.1%
8221 1
 
1.1%
5895 1
 
1.1%
1435 1
 
1.1%
1335 1
 
1.1%
2519 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
13 1
 
1.1%
25 1
 
1.1%
ValueCountFrequency (%)
20573 1
1.1%
16924 1
1.1%
15101 1
1.1%
14294 1
1.1%
14282 1
1.1%

582
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5741.152174
Minimum0
Maximum23521
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:26.199804image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11577
median3693.5
Q39288.25
95-th percentile15029.85
Maximum23521
Range23521
Interquartile range (IQR)7711.25

Descriptive statistics

Standard deviation5385.32409
Coefficient of variation (CV)0.9380214855
Kurtosis0.5185818567
Mean5741.152174
Median Absolute Deviation (MAD)3302.5
Skewness1.055127822
Sum528186
Variance29001715.56
MonotonicityNot monotonic
2022-12-08T10:54:26.318005image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
1 3
 
3.3%
3335 2
 
2.2%
2822 1
 
1.1%
2321 1
 
1.1%
3599 1
 
1.1%
1565 1
 
1.1%
9659 1
 
1.1%
5088 1
 
1.1%
1581 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 4
4.3%
1 3
3.3%
38 1
 
1.1%
58 1
 
1.1%
168 1
 
1.1%
ValueCountFrequency (%)
23521 1
1.1%
20809 1
1.1%
17422 1
1.1%
17170 1
1.1%
15246 1
1.1%

583
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5251.086957
Minimum0
Maximum19604
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:26.446183image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.3
Q11427.75
median3421
Q38768.5
95-th percentile14253.65
Maximum19604
Range19604
Interquartile range (IQR)7340.75

Descriptive statistics

Standard deviation4860.191941
Coefficient of variation (CV)0.9255592188
Kurtosis0.3244262876
Mean5251.086957
Median Absolute Deviation (MAD)3124.5
Skewness0.9925420063
Sum483100
Variance23621465.71
MonotonicityNot monotonic
2022-12-08T10:54:26.589355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2387 1
 
1.1%
10255 1
 
1.1%
2859 1
 
1.1%
1326 1
 
1.1%
9412 1
 
1.1%
6505 1
 
1.1%
1975 1
 
1.1%
985 1
 
1.1%
3353 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
2 1
 
1.1%
8 1
 
1.1%
15 1
 
1.1%
54 1
 
1.1%
ValueCountFrequency (%)
19604 1
1.1%
19052 1
1.1%
17120 1
1.1%
16460 1
1.1%
14571 1
1.1%

584
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4507.358696
Minimum0
Maximum18053
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:26.726505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q11482.75
median2945
Q37426.75
95-th percentile12020.3
Maximum18053
Range18053
Interquartile range (IQR)5944

Descriptive statistics

Standard deviation4245.649534
Coefficient of variation (CV)0.9419373565
Kurtosis0.5848288946
Mean4507.358696
Median Absolute Deviation (MAD)2383
Skewness1.083977101
Sum414677
Variance18025539.97
MonotonicityNot monotonic
2022-12-08T10:54:26.853309image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
883 2
 
2.2%
2818 2
 
2.2%
1940 1
 
1.1%
1847 1
 
1.1%
2616 1
 
1.1%
1679 1
 
1.1%
7279 1
 
1.1%
3681 1
 
1.1%
1303 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
0 5
5.4%
3 1
 
1.1%
13 1
 
1.1%
32 1
 
1.1%
52 1
 
1.1%
ValueCountFrequency (%)
18053 1
1.1%
16530 1
1.1%
15641 1
1.1%
12269 1
1.1%
12204 1
1.1%

585
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4759.717391
Minimum0
Maximum18852
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:26.986704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.5
Q11517.75
median3232
Q37639
95-th percentile13446.6
Maximum18852
Range18852
Interquartile range (IQR)6121.25

Descriptive statistics

Standard deviation4479.762821
Coefficient of variation (CV)0.9411825225
Kurtosis0.6926770545
Mean4759.717391
Median Absolute Deviation (MAD)2807.5
Skewness1.121355224
Sum437894
Variance20068274.93
MonotonicityNot monotonic
2022-12-08T10:54:27.114872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2573 1
 
1.1%
1740 1
 
1.1%
3241 1
 
1.1%
2177 1
 
1.1%
8387 1
 
1.1%
4522 1
 
1.1%
1490 1
 
1.1%
1000 1
 
1.1%
2680 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
10 1
 
1.1%
48 1
 
1.1%
69 1
 
1.1%
124 1
 
1.1%
ValueCountFrequency (%)
18852 1
1.1%
17547 1
1.1%
16447 1
1.1%
14674 1
1.1%
13682 1
1.1%

586
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5092.608696
Minimum0
Maximum18658
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:27.250684image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.1
Q11630.25
median3369.5
Q38277.5
95-th percentile14228.7
Maximum18658
Range18658
Interquartile range (IQR)6647.25

Descriptive statistics

Standard deviation4564.419754
Coefficient of variation (CV)0.8962832267
Kurtosis0.06152189189
Mean5092.608696
Median Absolute Deviation (MAD)2980.5
Skewness0.9427723034
Sum468520
Variance20833927.69
MonotonicityNot monotonic
2022-12-08T10:54:27.369878image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2165 1
 
1.1%
10068 1
 
1.1%
3054 1
 
1.1%
2131 1
 
1.1%
7991 1
 
1.1%
4534 1
 
1.1%
1648 1
 
1.1%
1384 1
 
1.1%
3213 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
63 1
 
1.1%
100 1
 
1.1%
124 1
 
1.1%
ValueCountFrequency (%)
18658 1
1.1%
15746 1
1.1%
15607 1
1.1%
15194 1
1.1%
15090 1
1.1%

587
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5474.391304
Minimum0
Maximum21035
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:27.505529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q11720.5
median3397
Q38913.75
95-th percentile15506.9
Maximum21035
Range21035
Interquartile range (IQR)7193.25

Descriptive statistics

Standard deviation5179.683104
Coefficient of variation (CV)0.946166033
Kurtosis0.481504301
Mean5474.391304
Median Absolute Deviation (MAD)2722.5
Skewness1.093098091
Sum503644
Variance26829117.05
MonotonicityNot monotonic
2022-12-08T10:54:27.637685image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
5 2
 
2.2%
2603 1
 
1.1%
2109 1
 
1.1%
3239 1
 
1.1%
1847 1
 
1.1%
9820 1
 
1.1%
4300 1
 
1.1%
1964 1
 
1.1%
1280 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 4
4.3%
5 2
2.2%
14 1
 
1.1%
75 1
 
1.1%
92 1
 
1.1%
ValueCountFrequency (%)
21035 1
1.1%
20469 1
1.1%
18336 1
1.1%
16403 1
1.1%
15816 1
1.1%

588
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5346.945652
Minimum0
Maximum17446
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:27.769397image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11703.5
median3313
Q38865.5
95-th percentile14990.7
Maximum17446
Range17446
Interquartile range (IQR)7162

Descriptive statistics

Standard deviation4902.295657
Coefficient of variation (CV)0.9168403751
Kurtosis-0.3052505496
Mean5346.945652
Median Absolute Deviation (MAD)2957.5
Skewness0.8701531634
Sum491919
Variance24032502.71
MonotonicityNot monotonic
2022-12-08T10:54:27.894091image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2400 1
 
1.1%
1883 1
 
1.1%
3425 1
 
1.1%
1454 1
 
1.1%
8324 1
 
1.1%
4687 1
 
1.1%
1746 1
 
1.1%
1256 1
 
1.1%
4188 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
3 1
 
1.1%
18 1
 
1.1%
71 1
 
1.1%
147 1
 
1.1%
ValueCountFrequency (%)
17446 1
1.1%
17331 1
1.1%
16879 1
1.1%
16426 1
1.1%
15555 1
1.1%

589
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6005.967391
Minimum0
Maximum23092
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:28.027062image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11314.75
median3888
Q39867.25
95-th percentile15691.25
Maximum23092
Range23092
Interquartile range (IQR)8552.5

Descriptive statistics

Standard deviation5635.111299
Coefficient of variation (CV)0.9382520636
Kurtosis0.1631627394
Mean6005.967391
Median Absolute Deviation (MAD)3547.5
Skewness0.9354688927
Sum552549
Variance31754479.35
MonotonicityNot monotonic
2022-12-08T10:54:28.153237image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2723 1
 
1.1%
1770 1
 
1.1%
5276 1
 
1.1%
1612 1
 
1.1%
11076 1
 
1.1%
5713 1
 
1.1%
1669 1
 
1.1%
1323 1
 
1.1%
2693 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
6 1
 
1.1%
15 1
 
1.1%
59 1
 
1.1%
126 1
 
1.1%
ValueCountFrequency (%)
23092 1
1.1%
22474 1
1.1%
18361 1
1.1%
16550 1
1.1%
15925 1
1.1%

590
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5814.815217
Minimum0
Maximum23816
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:28.280415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.55
Q11529.5
median3755
Q38667.25
95-th percentile15554.95
Maximum23816
Range23816
Interquartile range (IQR)7137.75

Descriptive statistics

Standard deviation5615.850736
Coefficient of variation (CV)0.9657831808
Kurtosis0.3072213188
Mean5814.815217
Median Absolute Deviation (MAD)3290.5
Skewness1.038809521
Sum534963
Variance31537779.49
MonotonicityNot monotonic
2022-12-08T10:54:28.408805image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2636 1
 
1.1%
12609 1
 
1.1%
4075 1
 
1.1%
1733 1
 
1.1%
10533 1
 
1.1%
5990 1
 
1.1%
1966 1
 
1.1%
1533 1
 
1.1%
3888 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
5 1
 
1.1%
6 1
 
1.1%
19 1
 
1.1%
30 1
 
1.1%
ValueCountFrequency (%)
23816 1
1.1%
20714 1
1.1%
19101 1
1.1%
15940 1
1.1%
15605 1
1.1%

591
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6122.423913
Minimum0
Maximum26539
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:28.539973image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.5
Q11609
median4084
Q310140.5
95-th percentile17789.75
Maximum26539
Range26539
Interquartile range (IQR)8531.5

Descriptive statistics

Standard deviation5879.424716
Coefficient of variation (CV)0.9603099687
Kurtosis0.6650020488
Mean6122.423913
Median Absolute Deviation (MAD)3179.5
Skewness1.113691906
Sum563263
Variance34567634.99
MonotonicityNot monotonic
2022-12-08T10:54:28.665156image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3
 
3.3%
4925 2
 
2.2%
2905 1
 
1.1%
12542 1
 
1.1%
1665 1
 
1.1%
8700 1
 
1.1%
6421 1
 
1.1%
1397 1
 
1.1%
1315 1
 
1.1%
1950 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 1
 
1.1%
1 3
3.3%
9 1
 
1.1%
39 1
 
1.1%
60 1
 
1.1%
ValueCountFrequency (%)
26539 1
1.1%
19821 1
1.1%
19344 1
1.1%
18944 1
1.1%
18029 1
1.1%

592
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4396.815217
Minimum0
Maximum18470
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:28.793845image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11268.75
median2630
Q37394.25
95-th percentile11419.1
Maximum18470
Range18470
Interquartile range (IQR)6125.5

Descriptive statistics

Standard deviation4251.036864
Coefficient of variation (CV)0.9668445576
Kurtosis0.8748346091
Mean4396.815217
Median Absolute Deviation (MAD)2400.5
Skewness1.143731162
Sum404507
Variance18071314.42
MonotonicityNot monotonic
2022-12-08T10:54:28.925601image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
1960 1
 
1.1%
1486 1
 
1.1%
2666 1
 
1.1%
1334 1
 
1.1%
7329 1
 
1.1%
4778 1
 
1.1%
1462 1
 
1.1%
1060 1
 
1.1%
1900 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
4 1
 
1.1%
47 1
 
1.1%
48 1
 
1.1%
143 1
 
1.1%
ValueCountFrequency (%)
18470 1
1.1%
17816 1
1.1%
13588 1
1.1%
13324 1
1.1%
11660 1
1.1%

593
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4521.326087
Minimum0
Maximum18088
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:29.089195image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.75
Q11177.75
median3195.5
Q37164.25
95-th percentile12463.25
Maximum18088
Range18088
Interquartile range (IQR)5986.5

Descriptive statistics

Standard deviation4225.739579
Coefficient of variation (CV)0.9346239351
Kurtosis0.6207263197
Mean4521.326087
Median Absolute Deviation (MAD)2565
Skewness1.086288859
Sum415962
Variance17856874.99
MonotonicityNot monotonic
2022-12-08T10:54:29.228336image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
167 2
 
2.2%
3345 2
 
2.2%
4546 1
 
1.1%
2128 1
 
1.1%
2909 1
 
1.1%
1057 1
 
1.1%
7451 1
 
1.1%
3626 1
 
1.1%
1764 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
6 1
 
1.1%
8 1
 
1.1%
46 1
 
1.1%
ValueCountFrequency (%)
18088 1
1.1%
16834 1
1.1%
14207 1
1.1%
13040 1
1.1%
12565 1
1.1%

594
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4971.141304
Minimum0
Maximum19652
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:29.373467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q11295.75
median3107
Q37953
95-th percentile13743.9
Maximum19652
Range19652
Interquartile range (IQR)6657.25

Descriptive statistics

Standard deviation4830.00077
Coefficient of variation (CV)0.9716080221
Kurtosis0.3046202953
Mean4971.141304
Median Absolute Deviation (MAD)2843.5
Skewness1.042020067
Sum457345
Variance23328907.44
MonotonicityNot monotonic
2022-12-08T10:54:29.518120image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2095 1
 
1.1%
11667 1
 
1.1%
3813 1
 
1.1%
1674 1
 
1.1%
9076 1
 
1.1%
4250 1
 
1.1%
1711 1
 
1.1%
1355 1
 
1.1%
2696 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
4 1
 
1.1%
8 1
 
1.1%
12 1
 
1.1%
ValueCountFrequency (%)
19652 1
1.1%
18629 1
1.1%
16654 1
1.1%
14531 1
1.1%
13756 1
1.1%

595
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5480.26087
Minimum0
Maximum22071
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:29.677213image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.7
Q11264.75
median3432.5
Q38791
95-th percentile15749.6
Maximum22071
Range22071
Interquartile range (IQR)7526.25

Descriptive statistics

Standard deviation5231.101436
Coefficient of variation (CV)0.9545351145
Kurtosis0.418405695
Mean5480.26087
Median Absolute Deviation (MAD)2961.5
Skewness1.076015783
Sum504184
Variance27364422.24
MonotonicityNot monotonic
2022-12-08T10:54:29.824846image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
3429 1
 
1.1%
2121 1
 
1.1%
3360 1
 
1.1%
1267 1
 
1.1%
8393 1
 
1.1%
4107 1
 
1.1%
1829 1
 
1.1%
932 1
 
1.1%
4070 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
0 5
5.4%
14 1
 
1.1%
33 1
 
1.1%
85 1
 
1.1%
130 1
 
1.1%
ValueCountFrequency (%)
22071 1
1.1%
19402 1
1.1%
17136 1
1.1%
16711 1
1.1%
16106 1
1.1%

596
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5069.086957
Minimum0
Maximum21478
Zeros6
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:29.981945image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11348.25
median2902.5
Q38751
95-th percentile14588.35
Maximum21478
Range21478
Interquartile range (IQR)7402.75

Descriptive statistics

Standard deviation5008.448299
Coefficient of variation (CV)0.9880375583
Kurtosis0.6173093729
Mean5069.086957
Median Absolute Deviation (MAD)2698.5
Skewness1.132915203
Sum466356
Variance25084554.37
MonotonicityNot monotonic
2022-12-08T10:54:30.131577image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.5%
2264 1
 
1.1%
1798 1
 
1.1%
3877 1
 
1.1%
1760 1
 
1.1%
10261 1
 
1.1%
3529 1
 
1.1%
1268 1
 
1.1%
1316 1
 
1.1%
2822 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 6
6.5%
2 1
 
1.1%
25 1
 
1.1%
108 1
 
1.1%
125 1
 
1.1%
ValueCountFrequency (%)
21478 1
1.1%
19106 1
1.1%
16730 1
1.1%
15317 1
1.1%
14711 1
1.1%

597
Real number (ℝ)

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5691.402174
Minimum0
Maximum24922
Zeros4
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:30.282691image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q11429.5
median3532.5
Q39129.25
95-th percentile14980.95
Maximum24922
Range24922
Interquartile range (IQR)7699.75

Descriptive statistics

Standard deviation5554.030154
Coefficient of variation (CV)0.9758632379
Kurtosis1.039519682
Mean5691.402174
Median Absolute Deviation (MAD)3136.5
Skewness1.178684895
Sum523609
Variance30847250.95
MonotonicityNot monotonic
2022-12-08T10:54:30.435325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
4.3%
2641 1
 
1.1%
11340 1
 
1.1%
2863 1
 
1.1%
1212 1
 
1.1%
8381 1
 
1.1%
4128 1
 
1.1%
1963 1
 
1.1%
946 1
 
1.1%
3309 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
0 4
4.3%
1 1
 
1.1%
2 1
 
1.1%
18 1
 
1.1%
30 1
 
1.1%
ValueCountFrequency (%)
24922 1
1.1%
21920 1
1.1%
20351 1
1.1%
15979 1
1.1%
15482 1
1.1%

598
Real number (ℝ)

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4971.728261
Minimum0
Maximum18942
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:30.579462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39.65
Q11349
median3370
Q37425
95-th percentile14110.05
Maximum18942
Range18942
Interquartile range (IQR)6076

Descriptive statistics

Standard deviation4747.102846
Coefficient of variation (CV)0.9548194505
Kurtosis0.3539650648
Mean4971.728261
Median Absolute Deviation (MAD)2810.5
Skewness1.066277221
Sum457399
Variance22534985.43
MonotonicityNot monotonic
2022-12-08T10:54:30.719126image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
2.2%
0 2
 
2.2%
2501 1
 
1.1%
10753 1
 
1.1%
2767 1
 
1.1%
1232 1
 
1.1%
7281 1
 
1.1%
4113 1
 
1.1%
1675 1
 
1.1%
674 1
 
1.1%
Other values (80) 80
87.0%
ValueCountFrequency (%)
0 2
2.2%
1 2
2.2%
16 1
1.1%
59 1
1.1%
78 1
1.1%
ValueCountFrequency (%)
18942 1
1.1%
17066 1
1.1%
17044 1
1.1%
16744 1
1.1%
14874 1
1.1%

599
Real number (ℝ)

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5890.108696
Minimum0
Maximum21843
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2022-12-08T10:54:30.867245image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q11576.5
median3926
Q39186.5
95-th percentile16454.95
Maximum21843
Range21843
Interquartile range (IQR)7610

Descriptive statistics

Standard deviation5470.968011
Coefficient of variation (CV)0.9288399066
Kurtosis0.1973619105
Mean5890.108696
Median Absolute Deviation (MAD)3588.5
Skewness0.9683181289
Sum541890
Variance29931490.98
MonotonicityNot monotonic
2022-12-08T10:54:31.037834image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
2 2
 
2.2%
2832 1
 
1.1%
8720 1
 
1.1%
3575 1
 
1.1%
4303 1
 
1.1%
1992 1
 
1.1%
9326 1
 
1.1%
5124 1
 
1.1%
1852 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
2 2
 
2.2%
4 1
 
1.1%
69 1
 
1.1%
101 1
 
1.1%
ValueCountFrequency (%)
21843 1
1.1%
21418 1
1.1%
18155 1
1.1%
17637 1
1.1%
17407 1
1.1%